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recallsapi.com US recalls

Search recalls

search_recalls
Read-onlyIdempotent

Full-text search across recall records from 9 US agencies (CPSC, FDA, NHTSA, US Coast Guard, FAA and more), newest and most relevant first. Filter by category and date.

Input Schema

NameRequiredDescriptionDefault
limitNo
queryYesWords to search, e.g. "listeria deli meat" or "Takata airbag"
sinceNoEarliest recall date, YYYY-MM-DD
categoryNo

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?

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint=false, so the safety profile is covered. The description adds useful context the annotations do not: the data sources (9 US agencies) and result ordering (newest and most relevant first). It says nothing about result limits, pagination, or result shape.

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 tight sentences with the capability and scope front-loaded and the filter options second. The '(CPSC, FDA, NHTSA, US Coast Guard, FAA and more)' aside is slightly padded but does convey coverage breadth cheaply.

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?

With no output schema, the description carries the burden of describing returns, and it gives only ordering ('newest and most relevant first') without saying what a recall record contains or how results are bounded by limit. It is adequate for a search tool but leaves meaningful gaps for a 4-parameter, multi-agency dataset.

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%, and the description only restates that category and date filtering exist without explaining semantics (e.g., whether 'since' is inclusive, how category interacts with query). The limit parameter and its max of 50 are not mentioned at all, so the description partially but not fully compensates for the coverage gap.

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 (full-text search over recall records) plus scope (9 US agencies, named examples) and result ordering. It is clearly a keyword search rather than a lookup, but it never names the sibling tools (get_recall, check_product, check_vehicle) to draw the boundary explicitly.

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 description implies usage via 'filter by category and date' and 'newest and most relevant first', which hints at exploratory keyword search. However, it gives no explicit when-to-use or when-not guidance against get_recall or the check_* siblings, leaving the agent to infer the routing.

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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