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rwestergren

io.github.rwestergren/cronometer-api-mcp

by rwestergren

search_foods

Read-onlyIdempotent

Search Cronometer's food database by name to get food IDs and source info, enabling nutrition logging and detailed food lookups.

Instructions

Search Cronometer's food database by name.

Returns matching foods with their IDs and source information. Use the food_id and measure_id from results with add_food_entry, or pass food_id to get_food_details for full nutrition info.

Args: query: Food name or keyword (e.g. "eggs", "chicken breast").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already indicate read-only and idempotent; description adds that results include IDs and source. No contradictions, and it provides necessary behavioral context beyond annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Four sentences, front-loaded with purpose, no redundancy, each sentence adds value. Efficient and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers input, output hints, and integration with sibling tools. Given existence of output schema, description is sufficiently complete for a search tool.

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?

Despite 0% schema coverage, description explains the 'query' parameter with examples ('eggs', 'chicken breast'), adding meaningful semantics beyond the type definition.

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

Purpose5/5

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

Clearly states the tool searches Cronometer's food database by name and returns matching foods with IDs and source information, distinguishing it from get_food_details and add_food_entry.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly describes how to use results (food_id and measure_id for add_food_entry, food_id for get_food_details), providing clear context for use. Lacks explicit exclusion scenarios but adequate.

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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