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Local AI Prices

Get one machine

get_machine
Read-onlyIdempotent

One machine in full by id (from search_machines) or page URL: price per store with stock and check time, price history summary, every published speed result with its source, and value.

Input Schema

NameRequiredDescriptionDefault
idYesMachine id, e.g. framework-desktop-128, or its localaiprices.com/p/<id>/ URL.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description adds real behavioral value by enumerating what comes back: price per store with stock and check time, price history summary, every published speed result with its source, and value. It stops short of saying what happens on an unknown id, but the payload contract is far clearer than the annotations alone.

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?

A single tightly packed sentence with the identity statement front-loaded and the returned-fields list following. No filler, no repetition of the title, and nothing that could be cut without losing information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter read tool with no output schema, the description carries the missing return-value contract by listing exactly which data blocks the agent will get. Combined with annotations covering safety and idempotency, nothing essential for correct invocation is absent.

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?

Schema coverage is 100%, with the id parameter already documented including the URL form and an example, so the baseline is 3. The description adds marginal but genuine meaning by tying the id to search_machines as its origin and restating that a page URL is equally acceptable.

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?

Opens with a specific verb and resource: fetch 'one machine in full by id' or page URL. It also names the sibling search_machines as the source of the id, so an agent can tell it apart from the search tool without inspecting either schema.

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?

The parenthetical '(from search_machines)' establishes the intended workflow: search first, then fetch details with the resulting id. There is no explicit when-not-to-use or mention of an alternative for bulk lookups, but the retrieval path is clear.

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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