Skip to main content
Glama

get_vehicle_validation

Checks game-test evidence to verify whether a vehicle's export bytes and draft revision still match before saving or updating the design.

Instructions

Read game-test evidence and report whether the export bytes and draft revision still match.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
run_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.1

TDQS

B3/5.0
Behavior3/5

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

With no annotations, the description carries the full burden and does disclose the core behavior: it reads game-test evidence and performs a match comparison between export bytes and draft revision. It does not state what happens on a mismatch, missing run_id, permissions, or whether the check is cached/idempotent, so coverage is partial.

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?

A single well-formed sentence with the core purpose front-loaded and no filler. It is efficient, though the extreme brevity contributes to the underspecification noted elsewhere.

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?

An output schema exists, so return values need not be explained, and the description adequately conveys the read/compare intent. However, the undefined run_id and absent usage guidance leave gaps for an agent deciding when and how to invoke it.

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 the description never mentions run_id, so the single parameter's meaning (which validation run to look up, format, scoping) is left entirely to inference. The description should have compensated for the coverage gap but does not.

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 action (read game-test evidence and report whether export bytes and draft revision match), which is concrete and distinguishable from write-oriented siblings like record_vehicle_validation. It does not, however, explicitly differentiate itself from prepare_vehicle_validation or record_vehicle_validation, leaving the agent to infer the get/prepare/record split.

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 explicit guidance on when to call this versus prepare_vehicle_validation or record_vehicle_validation, nor any prerequisites or exclusions. Usage is only weakly implied by the word 'Read' and the validation theme.

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