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meta_ads_products_get

Retrieve full product details and review status for a specific Meta Ads catalog product. Use to diagnose DPA delivery stalls by checking if product is rejected.

Instructions

Fetches the full detail record for a single catalog product. Returns id, retailer_id, name, description, availability, condition, price, currency, url, image_url, brand, category, review_status (APPROVED / REJECTED / PENDING), and rejection_reasons when applicable. Read-only. Call this when DPA delivery stalls for a specific product to check review_status — rejected products are excluded from ads.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
account_idNoMeta Ads account ID in the format 'act_XXXXXXXXXX' (e.g. 'act_1234567890'). Optional — falls back to META_ADS_ACCOUNT_ID from the configured credentials. The leading 'act_' prefix is required.
product_idYesMeta-assigned product_id as returned by meta_ads_products_list (not the retailer_id).
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It declares 'Read-only' and explains that rejected products are excluded from ads. For a read operation, this is fairly transparent, though it could mention rate limits or authorization requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise sentences: first states purpose and return fields, second gives a concrete use case. No wasted words, highly efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description lists all return fields explicitly. It covers purpose, usage scenario, and behavioral notes. Completely adequate for a simple retrieval tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so baseline is 3. The description does not add extra meaning for the parameters beyond what the schema already provides (e.g., it implies product_id is needed but doesn't elaborate on format).

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it fetches the full detail record for a single catalog product and lists the specific fields returned. It distinguishes itself from sibling tools like 'meta_ads_products_list' which implies listing products.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides a specific use case: 'Call this when DPA delivery stalls for a specific product to check review_status'. It doesn't explicitly state when not to use it, but the context is clear. Lacks mention of alternatives beyond the implied list tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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