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get_findtime_help

Retrieve enterprise-friendly findtime.io MCP usage help, including supported time-intelligence 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.

Input Schema

TableJSON 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.
Behavior3/5

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

No annotations are provided, so the description bears full responsibility. It reveals that the tool returns documentation/help content, not operational data, which is useful. However, it doesn't state whether it performs network calls, caches, or has any side effects, but for a help tool this is acceptable. No contradictions.

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?

The description is a single sentence that lists the key content areas, which is concise and front-loaded. It's not overly verbose, but could be slightly more structured (e.g., bullets), but as a paragraph it's acceptable.

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?

The tool is simple with one optional parameter and no output schema, so the description suffices to convey its purpose and content. It could be improved by adding a note about the output format (e.g., plain text vs JSON), but given low complexity, it is adequately complete.

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?

The description does not mention the single parameter '_endUserId'. However, schema coverage is 100%: the schema already explains that it's an optional end-user attribution token and warns against sending PII. Thus, the description adds no extra value here, and a baseline of 3 is appropriate.

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 returns usage help for findtime.io MCP, listing several specific content types (time-intelligence intents, answer API examples, ambiguity handling, deployment guidance). This is distinct from sibling tools that perform time operations like answering questions or finding meeting times, though it doesn't explicitly name them.

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?

The description implies this tool is for learning how to use the MCP, but it doesn't explicitly state when to use it versus alternatives. Given siblings like answer_time_question and find_meeting_time, a user might need this help before using those, but the description doesn't say that directly.

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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