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CharlieHR MCP Server and API by Cotlet

List time off requests in CharlieHR

charliehr_list_time_off_requests
Read-onlyIdempotent

List time off requests in the user's own CharlieHR account from ChatGPT, Claude or any AI agent. Returns how to do it in CharlieHR step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's CharlieHR Cloud Browser. CharlieHR's official API: CharlieHR has an API, but a narrow one, 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": "charliehr_list_time_off_requests"
  }
}

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?

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, yet the description adds genuinely new behavioral facts: it 'opens nothing by itself' (no browser session is launched) and it returns procedural guidance rather than live data. The note about CharlieHR's narrow official API and lack of an official MCP server explains why the browser path exists. Minor gap: it does not describe the shape of the returned instructions.

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?

Front-loaded with the action and the key caveat that it only returns instructions; the sequencing sentence follows logically. It is slightly padded ('from ChatGPT, Claude or any AI agent') and the dated API sidebar is tangential, but neither obscures the call.

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, no-output-schema tool with full annotation coverage, the description supplies everything an agent needs: what it returns, that it has no side effects, and which tools to use afterwards. The only shortfall is leaving the format of the returned step-by-step guidance unspecified.

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 per the baseline this lands at 4. Nothing in the description needs to compensate for schema gaps, and no parameter meaning is misstated.

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?

States a specific verb and resource ('List time off requests in the user's own CharlieHR account') and then immediately clarifies the actual return: step-by-step instructions rather than the data itself. That clarification is valuable, but it also creates a mismatch with the tool name and title, which imply the data is returned; an agent must read the second sentence to understand what it really gets. No direct differentiation from sibling read tools such as charliehr_list_team_members.

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?

Explicitly sequences usage: call this first to get the CharlieHR screens/buttons/fields, then perform the action with cotlet_browser_* tools in the Cloud Browser. That is clear context for when to reach for this tool, but there is no statement of when NOT to use it or which sibling to prefer for related read tasks.

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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