Skip to main content
Glama

Resource Guru MCP Server and API by Cotlet

Add time off in Resource Guru

resource_guru_add_time_off
Read-onlyIdempotent

Add time off in the user's own Resource Guru account from ChatGPT, Claude or any AI agent. Returns how to do it in Resource Guru step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Resource Guru Cloud Browser. Resource Guru's official API: Resource Guru has a public REST API with OAuth 2 that reads and writes bookings, projects, clients, resources and time off, and an official MCP server that only reads (checked 23 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": "resource_guru_add_time_off"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Beyond the readOnly/idempotent annotations, the description adds meaningful context: it 'opens nothing by itself' and 'returns how to do it ... step by step (screens, buttons, fields)'. This explains the non-mutating nature of a tool whose title implies a write, and directs the agent to browser tools to actually complete the task. It does not describe the exact response format, but the annotations and description together cover the behavioral profile well.

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 first two sentences are front-loaded and useful. The third sentence about Resource Guru's REST API and official MCP server is tangential and lengthy for a 0-param instruction tool, adding bulk without changing how the agent calls this tool.

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 instruction tool, the description covers what it returns (step-by-step guidance), what it does not do (no opening/mutation), and the follow-up tooling needed. The API tangent is extra but not required information; the core is complete.

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 schema to document and no ambiguity to resolve. Baseline is 4 for a parameterless tool.

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 clearly states the tool adds time off to the user's own Resource Guru account, and clarifies that it returns step-by-step instructions rather than performing the action. It implicitly distinguishes itself from the mutation siblings (create_booking, etc.) by emphasizing 'returns how to do it' and 'opens nothing by itself', though it doesn't name those siblings explicitly.

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 to get the steps, 'then do it with the cotlet_browser_* tools in the user's Resource Guru Cloud Browser'. This tells the agent the follow-up path. It does not explicitly state when NOT to use it (e.g., if an API-based write tool exists), leaving some inference to the agent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources