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US Consumer Product Recalls (CPSC) MCP

recall_search

PRO. CPSC recalls by product, manufacturer, retailer or hazard text, with date range.

Input Schema

NameRequiredDescriptionDefault
sinceNo
hazardNo
productNo
retailerNo
access_tokenNoSubscriber token from /success (or Authorization: Bearer)
manufacturerNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior2/5

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

No annotations exist, so the description carries the full burden. It says nothing about authentication requirements (the schema reveals an access_token), result size, pagination, ordering, or whether filters combine with AND/OR, and the unexplained 'PRO.' marker adds ambiguity rather than clarity.

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?

One sentence, front-loaded with the resource and filters, which is efficient. But the leading 'PRO.' token is cryptic filler that consumes attention without conveying usable information.

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?

A six-parameter search tool with no annotations and no output schema should explain at minimum what comes back and how filters interact. Neither is covered, and the authentication requirement only surfaces in the schema.

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 only 17%, so the description has to compensate, and it partially does by naming the five filterable dimensions. However, it adds no format detail for 'since' (no ISO/date format guidance) and no indication of whether matches are exact, substring, or multi-value, and it never mentions the access_token parameter.

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?

Names the resource (CPSC recalls) and the filter dimensions (product, manufacturer, retailer, hazard, date range), which is specific enough to act on. It does not differentiate itself from the sibling product_recalls, despite that being the obvious confusion point.

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?

There is no statement of when to prefer this tool over product_recalls or inventory_check, nor any prerequisite or exclusion. The 'PRO.' prefix hints at a paid tier but never explains what that implies 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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