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gioenjoy

mcp-google-merchant-center

by gioenjoy

get_product_status

Check the approval status and identify issues for products in your Google Merchant Center account.

Instructions

Stato di approvazione e issues dei prodotti

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
merchant_idNoMerchant Center ID (opzionale, default 123456789). Disponibili: 5291449515, 5747906518, 5443978365
max_resultsNoNumero massimo di prodotti (default 50)
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It does not state whether the operation is read-only, how results are ordered, or what happens when no products match. The minimal one-line description fails to reveal important behavior.

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

Conciseness3/5

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

The description is extremely concise (one short phrase). While there is no wasted text, it is too brief to be fully informative and lacks structure (e.g., no break into purpose, usage, behavior).

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

Completeness2/5

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

Despite low complexity (2 optional params, no output schema), the description does not explain what the tool returns (e.g., list of products with status details), pagination, or any error conditions. It is incomplete for an agent to use reliably.

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 coverage is 100% (both parameters have descriptions). The tool description does not add extra meaning beyond what the schema already provides, so a baseline of 3 is appropriate.

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

Purpose4/5

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

The description clearly indicates that the tool provides approval status and issues for products ('Stato di approvazione e issues dei prodotti'). It distinguishes from sibling tools like get_product or list_products by focusing specifically on status data.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives such as get_product or search_products. The description does not mention prerequisites, exclusions, or context for use.

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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