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get_findtime_help

Read-onlyIdempotent

Provides usage help for findtime.io time-intelligence queries, including supported intents, answer API examples, ambiguity handling, and answer-only deployment guidance.

Instructions

Return enterprise-friendly findtime.io MCP usage help, including supported time-intelligence intents, answer API examples, ambiguity handling examples, and recommended answer-only deployment guidance.

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": "get_findtime_help"
  }
}

Input Schema

NameRequiredDescriptionDefault
_endUserIdNoOptional opaque per-call end-user attribution token populated by the MCP host, not the LLM. Use a non-PII hash or token; never send raw email, name, or platform user ID.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.27.0

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive and open-world, so the safety profile is covered. The description adds useful content disclosure (what categories of help are returned), but says nothing about output size, token cost, or whether the content is static reference text versus dynamically generated guidance — relevant given the openWorldHint.

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?

A single front-loaded sentence with no filler; the enumerated contents are informative rather than padding. It is slightly dense with a four-item list but every item earns its place.

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 simple, side-effect-free help tool with one optional, fully documented parameter and no output schema, this is nearly complete — the agent knows what kind of content comes back. A note on output format or size would close the remaining gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is one optional parameter with 100% schema coverage, and its schema description already fully explains the _endUserId attribution token and its non-PII constraint. The description adds no additional parameter meaning, which is acceptable at this coverage level.

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 ('Return') and resource ('findtime.io MCP usage help') and enumerates the contents — supported intents, answer API examples, ambiguity handling, deployment guidance — which distinguishes it from sibling action tools like answer_time_question or find_meeting_time. It does not explicitly contrast with get_api_diagnostics, the nearest sibling, so it stops short of a 5.

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?

Usage is only implied: an agent infers it should call this when it needs documentation or examples. There is no explicit 'call this when X, use get_api_diagnostics instead when Y' routing, and no statement about whether it must be called before other tools.

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