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Cronometer MCP Server and API by Cotlet

Log food in Cronometer

cronometer_log_food
Read-onlyIdempotent

Log food in the user's own Cronometer account from ChatGPT, Claude or any AI agent. Returns how to do it in Cronometer step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Cronometer Cloud Browser. Cronometer's official API: Cronometer has no public API (checked 5 Nov 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": "cronometer_log_food"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

Beyond the annotations (readOnlyHint=true, destructiveHint=false), it discloses that the tool 'opens nothing by itself' and returns screen/button/field guidance, which reconciles the write-sounding name with the read-only annotation. It also notes the absence of a public Cronometer API (with a check date), useful context for why browser automation is required. It stops short of saying whether guidance is tailored to the user's actual account or whether an authenticated session must already be open.

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 sentences, front-loaded with purpose, then behavior, then the API caveat. Each sentence earns its place, though the 'from ChatGPT, Claude or any AI agent' clause and the specific checked date add words without changing agent behavior.

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?

For a zero-parameter, non-destructive tool with annotations covering the safety profile and no output schema, the description adequately explains what comes back (step-by-step screens, buttons, fields) and how it chains into the browser tools. The only remaining gap is the precondition that a Cronometer Cloud Browser session must be available.

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 there is nothing to disambiguate and the baseline of 4 applies. The description adds no misleading parameter expectations and correctly implies no inputs are required.

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 first sentence states a specific verb and resource ('Log food in the user's own Cronometer account'), and the second corrects the expectation by saying it returns step-by-step instructions rather than performing the write. An agent can tell it apart from the cotlet_browser_* siblings, though the headline verb 'Log' momentarily implies it performs the action itself, so the real behavior only becomes clear in the second 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 sequencing rule: call this first for the step-by-step, then execute with the cotlet_browser_* tools in the user's Cloud Browser. It does not state what to do if no Cloud Browser session exists or name a fallback when the guide is insufficient, so the 'when-not' side is thin.

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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