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CSOAI-ORG

fsa-food-safety-mcp

traceability_one_up_one_down

Check EU food traceability compliance with Article 18 of Regulation 178/2002, identifying one-up one-down obligations and recommended actions.

Instructions

EU Reg 178/2002 Article 18 traceability

Args: query: Optional query parameter (regulation ref, identifier, or input data). api_key: Optional MEOK API key for Pro+ tier features.

Returns: JSON with structured assessment, regulation refs, and recommended actions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNo
api_keyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations exist, so the description carries full burden. It mentions 'Returns: JSON' but does not disclose side effects, required permissions, or whether the tool performs read-only analysis. The behavioral profile is under-specified for a tool that likely queries a database.

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?

The description is concise with a clear title and argument list. It front-loads the regulation reference and output summary. However, it could be more structured (e.g., separate sections) without adding length.

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?

Given the tool's complexity (traceability with multiple potential inputs), the description is minimally adequate. The existence of an output schema reduces the burden for return values, but the description omits key context like the meaning of 'one up one down' and typical use cases.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has no descriptions (0% coverage), but the description adds meaning: 'query' can be regulation ref, identifier, or input data; 'api_key' enables Pro+ features. This clarifies parameter usage beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the tool is for 'EU Reg 178/2002 Article 18 traceability' and returns structured assessment, regulation refs, and recommended actions. However, it does not explicitly define 'one up one down' traceability or differentiate from sibling tools, making it somewhat vague.

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?

No guidance is provided on when to use this tool versus alternatives like recall_procedure_template or classify_food_business. The description lacks context on when traceability queries are appropriate or what prerequisites exist.

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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