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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 without full reports.

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
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 effectively communicates that this is a read operation (implied by 'Get'), provides performance characteristics ('faster', 'lightweight'), and indicates the output format ('pass/fail counts per test suite'). However, it doesn't mention potential limitations like rate limits, authentication requirements, or error conditions.

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 with three tightly focused sentences that each serve a distinct purpose: stating the tool's function, comparing it to alternatives, and providing usage guidance. There's no wasted language or redundancy.

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 single-parameter read tool with no output schema, the description provides excellent context about what the tool returns ('pass/fail counts per test suite') and how it differs from alternatives. The main gap is the lack of output format details, but given the simplicity of the tool and clear behavioral description, it's mostly complete.

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?

The schema description coverage is 100%, with the single parameter 'merge_request_iid' well-documented in the schema. The description doesn't add any parameter-specific information beyond what the schema already provides, so it meets the baseline of 3 for high schema coverage without adding extra value.

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 specific action ('Get test summary'), target resource ('for a merge request'), and scope ('lightweight overview showing pass/fail counts per test suite'). It distinguishes from the sibling tool 'get_merge_request_test_report' by emphasizing it's 'faster than full test report' and 'great for quick status checks'.

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?

The description explicitly provides when to use this tool ('Great for quick status checks') and when to use an alternative ('Faster than full test report'), clearly distinguishing it from the sibling 'get_merge_request_test_report'. This gives the agent clear guidance on selecting between these two test-related tools.

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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