Skip to main content
Glama

Preview opening a 引力AI chat

fitmeet_chat_prepare
Idempotent

Prepare an empty direct chat with a candidate from a current search result. Sends no message. If the result reports AUTOMATIC authorization, confirm the prepared chat directly; otherwise show the named person and request confirmation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryIdYes
requestIdYes
candidatePresentationIdYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYes
previewYes
executedYes
expiresAtYes
confirmationIdYes
authorizationModeNo
confirmationDigestYes
requiresUserConfirmationYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations mark it idempotent and non-destructive but readOnlyHint=false; the description resolves that ambiguity by stating 'Sends no message' and describing the authorization-dependent confirmation path. It adds real behavioral context beyond the annotation set, though it does not mention rate limits or what the prepared chat state contains.

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

Conciseness5/5

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

Two tight sentences with the action and its key non-effect front-loaded, followed by the conditional flow. No filler or redundancy.

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?

An output schema exists so return values need not be explained, and the description covers the critical prepare/confirm branching plus the no-message guarantee. The main gap is that the three required ID parameters are left semantically unexplained.

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

Parameters2/5

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

Schema description coverage is 0% and all three parameters are opaque ID strings documented only by regex patterns. The description's phrase 'from a current search result' loosely ties queryId/candidatePresentationId to a search origin, but it never explains requestId or the ID formats, leaving most parameter meaning unstated.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Prepare an empty direct chat with a candidate from a current search result') and immediately clarifies the non-action nature ('Sends no message'). This distinguishes it from fitmeet_chat_confirm and the message_* siblings, which the description references directly.

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 lays out the branch after preparation: confirm directly on AUTOMATIC authorization, otherwise present the person and request confirmation. That gives clear context for the prepare-then-confirm flow, though it never explicitly states when to prefer this tool over a sibling beyond the implied sequencing.

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