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ChocoTonic

FatSecret MCP Server

by ChocoTonic

search_recipes

Read-only

Search public recipes by keyword to find meal ideas and nutritional information. Supports pagination and region filtering for targeted results.

Instructions

Search public recipes using the latest reviewed Platform endpoint.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo
limitNo
queryYes
regionNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already cover the safety profile with readOnlyHint=true, openWorldHint=true, and destructiveHint=false. The description adds that only public recipes are searched, but it does not disclose pagination behavior, region handling, or endpoint specifics beyond that. No contradiction exists.

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 short and front-loaded with the essential action: 'Search public recipes'. The trailing phrase 'using the latest reviewed Platform endpoint' is somewhat vague and not clearly informative, but the overall structure is easy to parse and wastes little space.

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?

For a simple read-only search tool with an output schema and annotations covering safety, the description is minimally viable. However, it lacks parameter semantics and any comparison to sibling search tools, making it incomplete for an agent that needs to know when to choose this tool and how to phrase its arguments.

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

Parameters1/5

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

Schema description coverage is 0%, and the description mentions none of the four parameters (query, page, limit, region). The agent gets no explanation of their meaning, how they interact, or how region affects the search, leaving the schema titles and constraints as the only source of information.

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?

The description uses a clear verb ('Search') and a specific resource ('public recipes'), making the tool's basic purpose understandable. However, it doesn't explicitly contrast with sibling search tools like search_foods or get_recipe, and the phrase 'latest reviewed Platform endpoint' adds little concrete meaning.

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?

The description provides no guidance on when to use this tool versus alternatives such as search_foods or get_recipe. There are no exclusions, prerequisites, or contextual conditions, so an agent must infer usage from the tool name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.