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Glama

get_vehicle

Retrieve a consolidated vehicle record by ID, including all matched listings from various marketplaces and time periods.

Instructions

A physical vehicle (dedupe cluster) with all listings that were matched to it across marketplaces/time.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vehicle_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It conveys that the tool aggregates listings across marketplaces and time, which is useful, but it does not state whether the operation is read-only (implicit from 'get'), potential performance implications, or behavior when no vehicle is found. It adds some context but lacks depth.

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, concise sentence with no filler words. However, it is structured as a definition rather than an action, which slightly reduces its effectiveness. The key concept of dedupe clustering is included without unnecessary elaboration.

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?

Given that an output schema exists, the description does not need to detail return structure. It explains the core purpose and the aggregation aspect. For a simple get-by-id tool with one parameter, this is largely sufficient. The main missing element is usage guidance, but that is covered under a separate dimension.

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%, so the description should compensate by explaining the vehicle_id parameter. It does not mention the parameter at all. The name 'vehicle_id' is self-explanatory, but the description adds no additional meaning or usage context, leaving the agent to infer everything from the schema.

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 identifies the resource (physical vehicle / dedupe cluster) and its content (all matched listings across marketplaces/time). It distinguishes from get_listing, which presumably targets a single listing, by emphasizing the aggregation. However, it is phrased as a noun phrase rather than an explicit verb action like 'Retrieves...', which slightly reduces clarity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives such as get_listing, search_cars, or get_new_listings. The description implies that it is for obtaining a vehicle's aggregated listings, but it does not explicitly state conditions for selection or mention any sibling tools.

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