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Fitatu MCP Server and API by Cotlet

Get nutrition summary in Fitatu

fitatu_get_nutrition_summary
Read-onlyIdempotent

Get nutrition summary in the user's own Fitatu account from ChatGPT, Claude or any AI agent. Returns how to do it in Fitatu step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Fitatu Cloud Browser. Fitatu's official API: Fitatu has no public API: its site and help center list no developer docs and no official MCP server (checked 13 Oct 2026).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "fitatu_get_nutrition_summary"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true, idempotent and openWorldHint=false, so the safety bar is largely met; the description goes further by stating explicitly that it returns procedural guidance and 'opens nothing by itself'. The note that Fitatu has no public API or official MCP server adds useful context about why the browser-tool handoff is required, though it never says what the returned instructions look like in structure or length.

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

Conciseness3/5

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

The core workflow is front-loaded, but the final sentence is a malformed fragment with a doubled colon ('Fitatu's official API: Fitatu has no public API:') and an oddly specific future verification date, which adds noise rather than usable signal.

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 zero-parameter tool with no output schema, the description does the essential job of explaining what comes back (step-by-step screens/buttons/fields) and who consumes it. It stops short of describing the shape or granularity of that guidance or what an agent should do if the referenced browser tools are unavailable in the current session.

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 tool takes zero parameters, so the baseline is 4 and there is no parameter meaning for the description to add or omit.

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 states the resource (nutrition summary in the user's own Fitatu account) and adds the crucial clarification that the tool returns step-by-step instructions rather than data, which an agent could not infer from the name alone. It falls short of 5 because the opening verb phrase 'Get nutrition summary' still reads as a data-fetch and is only corrected mid-sentence.

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?

It gives a clear workflow: call this for the how-to, then perform the actions with cotlet_browser_* tools in the Fitatu Cloud Browser. It does not, however, compare against the sibling fitatu_get_diary, which an agent might reasonably expect to be the alternative for obtaining nutrition figures.

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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