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US Consumer Product Recalls (CPSC) MCP

inventory_check

PRO. Check up to 50 products/brands you sell (resellers, Amazon/eBay sellers, thrift stores) against CPSC recalls.

Input Schema

NameRequiredDescriptionDefault
itemsYes
access_tokenNoSubscriber token from /success (or Authorization: Bearer)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It usefully discloses a hard 50-item batch cap (not encoded in the schema) and the 'PRO' paid/subscriber tier, which hints at an auth requirement. It says nothing about what a check returns (matches, severity, per-item status) or rate-limit behavior for a batch operation.

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

Conciseness4/5

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

Two compact sentences with the batch limit and audience front-loaded; nothing is wasted. The leading 'PRO.' token is terse but functional as a tier marker.

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

Completeness3/5

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

There is no output schema, so the description should describe the return shape, and it does not — the agent cannot tell whether it gets per-item recall matches, a boolean flag, or a summary. For a batch screening tool with two params, that is the main missing piece.

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 50%: access_token is documented in the schema, but the items array has no description and no maxItems constraint. The description partially compensates by defining items as products/brands and imposing the 50-item limit, but it never says what form each string should take (brand name, product name, model number).

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?

States a specific verb and resource: check a list of products/brands against CPSC recalls, and names the target audience (resellers, marketplace sellers, thrift stores). It does not distinguish itself from the siblings product_recalls and recall_search, so the agent cannot tell from the description alone which one fits a given query.

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

Usage Guidelines3/5

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

The phrase 'products/brands you sell' plus the audience list implies a batch inventory-screening use case, and 'up to 50' implies a bulk check. There is no explicit when-to-use vs. product_recalls/recall_search guidance and no stated prerequisites beyond what the schema implies.

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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