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get_pipeline_test_summary

Retrieve a lightweight test summary for GitLab merge requests, showing pass/fail counts per test suite to quickly check pipeline status.

Instructions

Get test summary for a merge request - a lightweight overview showing pass/fail counts per test suite. Faster than full test report. Great for quick status checks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
merge_request_iidYesInternal ID of the merge request
Behavior4/5

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

With no annotations provided, the description carries the full burden and does well by disclosing key behavioral traits: it's a read operation ('Get'), provides a 'lightweight overview' with 'pass/fail counts per test suite', and is performance-optimized ('Faster than full test report'). It doesn't mention rate limits or authentication needs, but covers core functionality adequately.

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?

The description is perfectly concise and front-loaded: three sentences that each earn their place by defining purpose, differentiating from alternatives, and providing usage context with zero wasted words.

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 simple read tool with one parameter and no output schema, the description is nearly complete: it explains what the tool returns ('pass/fail counts per test suite') and its performance characteristics. It could mention the return format more explicitly, but given the low complexity, it's sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already fully documents the single parameter. The description adds no additional parameter semantics beyond what's in the schema, meeting the baseline for high coverage.

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 purpose with specific verbs ('get test summary') and resource ('for a merge request'), distinguishing it from siblings like 'get_merge_request_test_report' by emphasizing it's a 'lightweight overview' and 'faster than full test report'.

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

Usage Guidelines5/5

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

It explicitly provides usage guidance by stating when to use this tool ('Great for quick status checks') and when to use an alternative ('Faster than full test report'), clearly differentiating it from 'get_merge_request_test_report' without needing to name it directly.

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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