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Nadveo — book air-conditioning service

Status of a booking

get_request_status
Read-only

At the company chosen from find_companies (pass its company). Where a booking stands: status, time, technician (once assigned), price. Needs the token from book_appointment.

Input Schema

NameRequiredDescriptionDefault
tokenYes
companyYesThe company: the `company` of a find_companies result.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds useful behavioral context beyond that: what data is returned and the fact that the technician field is only populated 'once assigned'. It does not discuss token expiry, rate limits, or error behavior.

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?

Two short sentences with no filler, and the dependency (which company) is front-loaded. The phrasing is somewhat telegraphic and fragmented, costing a little clarity, but nothing extraneous is included.

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 read-only, two-parameter tool with no output schema, the description covers inputs and the shape of the return, which is the main thing missing from structured fields. Minor gaps remain around failure/error cases and token lifetime.

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?

With only 50% schema coverage, the description compensates by explaining the provenance of both parameters: `company` comes from a find_companies result and `token` comes from book_appointment, topics absent from the schema itself (the token property has no description at all).

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 states a specific verb and resource: retrieve where a booking stands, enumerating the returned fields (status, time, technician, price). It is clearly distinguishable from siblings like cancel_request or book_appointment, though it doesn't explicitly contrast itself against 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?

It implies the prerequisite workflow by stating the inputs must come from find_companies and book_appointment, which tells an agent when the tool is callable. However, it never states when NOT to use it or names a competing sibling (e.g., cancel_request) for adjacent needs.

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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