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Canada Consumer Product Recalls MCP

recall_search

PRO. Up to 100 recalls with filters: keyword, category, recall class, since date (YYYY-MM-DD).

Input Schema

NameRequiredDescriptionDefault
sinceNo
keywordNo
categoryNo
access_tokenNoSubscriber token from /success (or Authorization: Bearer)
recall_classNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral load; it does disclose two useful traits — a 100-result cap and a 'PRO'/subscriber-tier requirement (reinforced by the access_token param). It omits result ordering, pagination/truncation behavior, and anything about read vs. write semantics or rate limits.

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?

Extremely tight, front-loaded, and every fragment carries information; 'PRO.' telegraphs the tier constraint immediately. It is slightly clipped to the point of terseness (no full sentence framing), but nothing is wasted.

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?

For a 5-parameter, no-annotation, no-output-schema search tool, the definition covers filters and the result cap but says nothing about the shape of returned recall records or what happens past 100 results, leaving the agent guessing about output.

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 20%, so the description must compensate; it does name four of the five parameters (keyword, category, recall class, since) and adds the YYYY-MM-DD format for since, but leaves keyword matching semantics and the valid values for category/recall_class unexplained.

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 concrete action (return up to 100 recalls) with an explicit list of filter dimensions, so the agent knows it's a filtered search over recalls. It is distinguishable in spirit from latest_recalls and new_since, but the description never names those siblings or states the boundary between them.

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 explicit when-to-use or when-not-to-use guidance; the only hint is that filters exist, which implies 'use this when you need filtering.' Nothing tells the agent how this differs from latest_recalls or new_since, so the routing decision is left to inference.

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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