latest_recalls
FREE. Latest canada consumer product recalls matching a keyword (product, brand, allergen or hazard) — newest 5.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| keyword | No |
FREE. Latest canada consumer product recalls matching a keyword (product, brand, allergen or hazard) — newest 5.
| Name | Required | Description | Default |
|---|---|---|---|
| keyword | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description does carry useful behavioral facts: the call is free, results are ordered newest-first, and the response is capped at 5 items. It omits auth requirements, rate limits, and what happens with an empty/absent keyword, which matters for a tool with zero structured hints.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single tight sentence with the cost signal and scope front-loaded, the match semantics in the middle, and the result cap at the end. No filler at all.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a one-parameter, no-annotation, no-output-schema tool, the description communicates cost, ordering, and result count. It still leaves the agent guessing about the shape of each recall record and about behavior when keyword is omitted.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0% — the schema is a bare untyped string — so the description must compensate, and it does by explaining that the keyword matches product, brand, allergen, or hazard. It stops short of saying whether keyword is optional (required list is empty) or how matching is performed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb (retrieve latest recalls), a specific resource (Canada consumer product recalls), a match field set (product, brand, allergen, hazard), and a result cap (newest 5). It is clearly a 'latest snapshot' tool, which implicitly contrasts with recall_search, but it never names the sibling to make the distinction explicit.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
'Latest' and 'newest 5' imply a quick-glance use case, and the 'FREE' prefix hints at a cost trade-off versus siblings. However, no alternative (recall_search, new_since, watchlist) is named and there is no statement of when this tool is the wrong choice.
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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