Validate And Prepare Assets
š LONG-RUNNING TOOL: Validates multiple images from URLs for Performance Max campaigns. Emits MCP progress updates while downloading and validating 5-10 images (typically 5-15 seconds). Progress stages: download ā validate ā commit.
ā ļø CRITICAL: This tool accepts IMAGE URLS (from postimages.org), NOT base64 or file paths!
curl --request POST \
--url https://api.adspirer.ai/api/v1/tools/validate_and_prepare_assets/execute \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"arguments": {
"logos_landscape": [
"string"
],
"logos_square": [
"string"
],
"marketing_images_landscape": [
"string"
],
"marketing_images_portrait": [
"string"
],
"marketing_images_square": [
"string"
]
}
}
'import requests
url = "https://api.adspirer.ai/api/v1/tools/validate_and_prepare_assets/execute"
payload = { "arguments": {
"logos_landscape": ["string"],
"logos_square": ["string"],
"marketing_images_landscape": ["string"],
"marketing_images_portrait": ["string"],
"marketing_images_square": ["string"]
} }
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
arguments: {
logos_landscape: ['string'],
logos_square: ['string'],
marketing_images_landscape: ['string'],
marketing_images_portrait: ['string'],
marketing_images_square: ['string']
}
})
};
fetch('https://api.adspirer.ai/api/v1/tools/validate_and_prepare_assets/execute', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.adspirer.ai/api/v1/tools/validate_and_prepare_assets/execute",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'arguments' => [
'logos_landscape' => [
'string'
],
'logos_square' => [
'string'
],
'marketing_images_landscape' => [
'string'
],
'marketing_images_portrait' => [
'string'
],
'marketing_images_square' => [
'string'
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.adspirer.ai/api/v1/tools/validate_and_prepare_assets/execute"
payload := strings.NewReader("{\n \"arguments\": {\n \"logos_landscape\": [\n \"string\"\n ],\n \"logos_square\": [\n \"string\"\n ],\n \"marketing_images_landscape\": [\n \"string\"\n ],\n \"marketing_images_portrait\": [\n \"string\"\n ],\n \"marketing_images_square\": [\n \"string\"\n ]\n }\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.adspirer.ai/api/v1/tools/validate_and_prepare_assets/execute")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"arguments\": {\n \"logos_landscape\": [\n \"string\"\n ],\n \"logos_square\": [\n \"string\"\n ],\n \"marketing_images_landscape\": [\n \"string\"\n ],\n \"marketing_images_portrait\": [\n \"string\"\n ],\n \"marketing_images_square\": [\n \"string\"\n ]\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.adspirer.ai/api/v1/tools/validate_and_prepare_assets/execute")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"arguments\": {\n \"logos_landscape\": [\n \"string\"\n ],\n \"logos_square\": [\n \"string\"\n ],\n \"marketing_images_landscape\": [\n \"string\"\n ],\n \"marketing_images_portrait\": [\n \"string\"\n ],\n \"marketing_images_square\": [\n \"string\"\n ]\n }\n}"
response = http.request(request)
puts response.read_body{
"data": {
"quota": {
"limit": 150,
"period_end": "2026-05-01",
"tier": "plus",
"used": 42
},
"text": "(tool-specific textual output for validate_and_prepare_assets)"
},
"success": true,
"tool": "validate_and_prepare_assets"
}{
"error": "You have 25 meta_ads accounts connected. Please specify which account to use by passing the ad_account_id parameter:\n - Acme Holdings (ad_account_id=\"act_123456789\")\n - Acme EU (ad_account_id=\"act_987654321\")",
"is_error": true,
"success": false,
"tool": "validate_and_prepare_assets"
}{
"error": "Not authenticated. Please connect your Adspirer account first at https://adspirer.ai",
"is_error": true,
"success": false,
"tool": "validate_and_prepare_assets"
}{
"error": "šØ Monthly limit reached (150/150 tool calls on Plus tier).\nUpgrade to Pro at https://adspirer.ai to keep building.",
"is_error": true,
"quota": {
"limit": 150,
"period_end": "2026-05-01",
"tier": "plus",
"upgrade_url": "https://adspirer.ai",
"used": 150
},
"success": false,
"tool": "validate_and_prepare_assets"
}{
"error": "Tool not found: validate_and_prepare_assets",
"is_error": true,
"success": false,
"tool": "validate_and_prepare_assets"
}{
"error": "Upstream platform rate limit hit (Meta Business Use Case throttle at 95%). Retry after 60 seconds.",
"is_error": true,
"success": false,
"tool": "validate_and_prepare_assets"
}{
"error": "Internal error: RuntimeError",
"is_error": true,
"success": false,
"tool": "validate_and_prepare_assets"
}Authorizations
API key from https://adspirer.ai/keys. Prefix sk_live_. Treat as a secret ā never commit.
Headers
Client-generated UUID to make writes idempotent. Strongly recommended for write tools. A repeat call with the same key returns the cached result instead of re-executing. Example: 550e8400-e29b-41d4-a716-446655440000
Body
All tool arguments are wrapped in an arguments object. The fields accepted inside arguments are listed below ā required fields are marked with a red asterisk.
Input schema for validate_and_prepare_assets tool - NOW ACCEPTS URLs!
Show child attributes
Show child attributes
Response
Tool executed successfully. data.text carries the human-readable result (markdown-friendly). data.quota shows your current usage against the plan limit. data.structured appears when the tool emits machine-parseable structured content. data.content appears for tools that return non-text blocks (images, resources).
Returned on HTTP 200. data.text is the primary human-readable output. data.quota is always present for billable calls. data.structured is set only when the tool emits machine-parseable structured content. data.content is set only when the tool emits non-text content blocks.
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curl --request POST \
--url https://api.adspirer.ai/api/v1/tools/validate_and_prepare_assets/execute \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"arguments": {
"logos_landscape": [
"string"
],
"logos_square": [
"string"
],
"marketing_images_landscape": [
"string"
],
"marketing_images_portrait": [
"string"
],
"marketing_images_square": [
"string"
]
}
}
'import requests
url = "https://api.adspirer.ai/api/v1/tools/validate_and_prepare_assets/execute"
payload = { "arguments": {
"logos_landscape": ["string"],
"logos_square": ["string"],
"marketing_images_landscape": ["string"],
"marketing_images_portrait": ["string"],
"marketing_images_square": ["string"]
} }
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
arguments: {
logos_landscape: ['string'],
logos_square: ['string'],
marketing_images_landscape: ['string'],
marketing_images_portrait: ['string'],
marketing_images_square: ['string']
}
})
};
fetch('https://api.adspirer.ai/api/v1/tools/validate_and_prepare_assets/execute', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.adspirer.ai/api/v1/tools/validate_and_prepare_assets/execute",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'arguments' => [
'logos_landscape' => [
'string'
],
'logos_square' => [
'string'
],
'marketing_images_landscape' => [
'string'
],
'marketing_images_portrait' => [
'string'
],
'marketing_images_square' => [
'string'
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.adspirer.ai/api/v1/tools/validate_and_prepare_assets/execute"
payload := strings.NewReader("{\n \"arguments\": {\n \"logos_landscape\": [\n \"string\"\n ],\n \"logos_square\": [\n \"string\"\n ],\n \"marketing_images_landscape\": [\n \"string\"\n ],\n \"marketing_images_portrait\": [\n \"string\"\n ],\n \"marketing_images_square\": [\n \"string\"\n ]\n }\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.adspirer.ai/api/v1/tools/validate_and_prepare_assets/execute")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"arguments\": {\n \"logos_landscape\": [\n \"string\"\n ],\n \"logos_square\": [\n \"string\"\n ],\n \"marketing_images_landscape\": [\n \"string\"\n ],\n \"marketing_images_portrait\": [\n \"string\"\n ],\n \"marketing_images_square\": [\n \"string\"\n ]\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.adspirer.ai/api/v1/tools/validate_and_prepare_assets/execute")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"arguments\": {\n \"logos_landscape\": [\n \"string\"\n ],\n \"logos_square\": [\n \"string\"\n ],\n \"marketing_images_landscape\": [\n \"string\"\n ],\n \"marketing_images_portrait\": [\n \"string\"\n ],\n \"marketing_images_square\": [\n \"string\"\n ]\n }\n}"
response = http.request(request)
puts response.read_body{
"data": {
"quota": {
"limit": 150,
"period_end": "2026-05-01",
"tier": "plus",
"used": 42
},
"text": "(tool-specific textual output for validate_and_prepare_assets)"
},
"success": true,
"tool": "validate_and_prepare_assets"
}{
"error": "You have 25 meta_ads accounts connected. Please specify which account to use by passing the ad_account_id parameter:\n - Acme Holdings (ad_account_id=\"act_123456789\")\n - Acme EU (ad_account_id=\"act_987654321\")",
"is_error": true,
"success": false,
"tool": "validate_and_prepare_assets"
}{
"error": "Not authenticated. Please connect your Adspirer account first at https://adspirer.ai",
"is_error": true,
"success": false,
"tool": "validate_and_prepare_assets"
}{
"error": "šØ Monthly limit reached (150/150 tool calls on Plus tier).\nUpgrade to Pro at https://adspirer.ai to keep building.",
"is_error": true,
"quota": {
"limit": 150,
"period_end": "2026-05-01",
"tier": "plus",
"upgrade_url": "https://adspirer.ai",
"used": 150
},
"success": false,
"tool": "validate_and_prepare_assets"
}{
"error": "Tool not found: validate_and_prepare_assets",
"is_error": true,
"success": false,
"tool": "validate_and_prepare_assets"
}{
"error": "Upstream platform rate limit hit (Meta Business Use Case throttle at 95%). Retry after 60 seconds.",
"is_error": true,
"success": false,
"tool": "validate_and_prepare_assets"
}{
"error": "Internal error: RuntimeError",
"is_error": true,
"success": false,
"tool": "validate_and_prepare_assets"
}
