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Cronometer MCP Server and API by Cotlet

Get targets in Cronometer

cronometer_get_targets
Read-onlyIdempotent

Get targets 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_get_targets"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

Beyond readOnlyHint/idempotent annotations, it discloses that the tool opens nothing by itself, returns screen/button/field steps, and requires the Cloud Browser tools to act. The no-public-API note adds useful context, though it could clarify whether the steps are static or account-specific.

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 behavior is buried after a 'Get targets' framing and unnecessary 'ChatGPT, Claude or any AI agent' phrasing. The API note is relevant but repeats the same point twice, so the description is not as tight as it could be.

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 guide tool with no output schema, it explains what is returned (step-by-step screens/buttons/fields) and the required next action via browser tools. The remaining gap is the unresolved ambiguity about whether it actually retrieves target values, which matters for correct invocation.

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 has zero parameters and the schema is empty, so there is no parameter meaning to add; the baseline for a 0-param tool applies.

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

Purpose3/5

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

The description opens with 'Get targets...' but then says it returns step-by-step instructions and opens nothing, so the actual operation is a guide rather than a data retrieval. That mismatch with the name/title leaves the agent unsure whether it will receive target values or just a procedure.

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 explicitly directs the agent to perform the steps with cotlet_browser_* tools and notes there is no public API, giving a clear follow-up path. It does not name when to prefer this over sibling guides like cotlet_app_guide or how it relates to cronometer_get_diary_day, so exclusions are absent.

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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