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Food coverage

food_coverage
Read-onlyIdempotent

FREE. Ski areas with restaurants and menus on file. Filter by keyword (area or country).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNo

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?

Annotations already declare readOnly, idempotent and openWorld, so safety is covered. The description adds genuinely new context the annotations lack: the tool is free, and the underlying data is limited to areas with menus 'on file'. It still says nothing about pagination, result size, or coverage gaps.

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?

Three terse fragments, with the cost signal front-loaded and the filter semantics last. Nothing is wasted, though the fragment style is slightly choppy.

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 and no annotations covering data shape, the description should say what a result contains (restaurant names? menu items? links?). It conveys scope and cost but leaves the return surface to guesswork, which is a real gap for a discovery tool.

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 0% and the single 'query' param is undocumented in the schema, so the description must compensate. It does partially, clarifying the keyword matches on area or country, but gives no syntax, matching rules, or behavior when omitted (param is optional).

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 resource ('ski areas with restaurants and menus on file'), which tells the agent exactly what is returned, though the verb is implicit (list/retrieve). It does not differentiate itself from the many sibling ski_* tools (ski_coverage, restaurant_menu) by name, so an agent must infer the boundary.

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 statement of when to use this versus alternatives such as restaurant_menu or ski_coverage. The 'FREE' tag implies a cost-based reason to prefer it, but no explicit when/when-not guidance is given.

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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