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Glama

get_case

Fetch the full case record, including any ruling.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
case_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden of behavioral context. It indicates a read operation ('Fetch'), but does not disclose auth requirements, idempotency, or potential errors. For a simple fetch, this is adequate but not exhaustive.

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 one short sentence, making it concise. However, it lacks any structure (e.g., bullet points) and could be slightly more informative without significant bloat.

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?

Given the simplicity (1 param, no annotations, output schema exists), the description is minimally complete. It covers the main function but omits details like error handling or usage context that could help in complex scenarios.

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?

The input schema has 0% description coverage for the parameter 'case_id', and the tool description does not explain its format, source, or purpose beyond the name. The description adds no semantic value to the parameter.

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?

The description clearly states the tool's action ('Fetch') and resource ('case record'), and specifies that it returns the full record including ruling. This distinguishes it from siblings like 'list_cases' (lists summary) and 'file_case' (creates case).

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?

The description implies that the tool is for retrieving full case details, but does not explicitly state when to use it over alternatives like 'list_cases' or when not to use it. No prerequisites or exclusions are mentioned.

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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TDQS

A3.5/5.0
Disambiguation5/5

Each tool has a clear, distinct purpose: filing cases, querying, submitting evidence, setting trust scores, ruling, and verifying. No overlap or ambiguity.

Naming Consistency5/5

All tool names use consistent snake_case with a verb_noun pattern (e.g., file_case, get_case, submit_evidence). Even 'rule' is a concise verb that fits the pattern.

Tool Count5/5

8 tools is well-scoped for an arbitration server: covers filing, evidence, trust, ruling, verification, and querying. Neither too few nor too many.

Completeness5/5

The tool surface covers the full arbitration lifecycle: case creation, evidence submission, trust score input, ruling, verification, and case listing/retrieval. No obvious gaps.