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Timetastic MCP Server and API by Cotlet

Get annual allowance summary in Timetastic

timetastic_get_annual_allowance_summary
Read-onlyIdempotent

Get annual allowance summary in the user's own Timetastic account from ChatGPT, Claude or any AI agent. Returns how to do it in Timetastic step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Timetastic Cloud Browser. Timetastic's official API: Yes, Timetastic has a REST API with a bearer token, and no official MCP server (checked 20 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": "timetastic_get_annual_allowance_summary"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare readOnly/idempotent/non-destructive, and the description usefully adds that it 'opens nothing by itself' and that the return value is a step-by-step walkthrough rather than live data. That non-obvious output nature is real added value, but the mention of the 'Timetastic Cloud Browser' sits awkwardly against openWorldHint=false, and it never says how complete or reliable the returned steps are.

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

Conciseness2/5

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

The core fact — that this returns instructions, not data — is buried mid-sentence behind a run-on clause. The trailing note about Timetastic's REST API and lack of an official MCP server is background trivia that does not help an agent decide or invoke the tool.

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?

With no parameters and no output schema, the description carries the burden of explaining the return value, and it only sketches it ('screens, buttons, fields'). It is complete enough to avoid a wrong call, but an agent still cannot tell what the response actually looks like or how it should chain into the browser tools.

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 for the description to disambiguate beyond what the empty schema already conveys. Baseline 4 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 does name a concrete resource (annual allowance summary) but immediately reframes the tool as returning step-by-step instructions rather than the data itself, which makes the actual deliverable ambiguous against the name. It never distinguishes itself from the similarly named sibling timetastic_get_monthly_leave_summary, so an agent must guess which summary tool to call.

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

Usage Guidelines3/5

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

There is an implied workflow — call this, then execute the steps with cotlet_browser_* in the user's Timetastic Cloud Browser — which is genuine routing guidance. However, it gives no when-not-to-use conditions and no criteria for choosing among the other timetastic_* read tools, leaving selection to inference.

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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