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iampopovich

Allure TestOps MCP

by iampopovich

find_similar_failures

Find test results matching a defect pattern in a launch to detect flaky tests and group failures by root cause.

Instructions

Find test results that match a defect pattern within a launch. Use this to detect flaky tests and group failures by root cause: pass launchId to scope the search, optionally pass a defectId to check match against a specific defect. Returns test results that are candidates for linking to the defect.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
launchIdNoLaunch ID to scope the search. Must be a number (integer), not a string.
defectIdNoDefect ID to match against. Must be a number (integer), not a string.
pageNoPage number, 0-based.
sizeNoPage size.
Behavior2/5

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

No annotations provided, so description carries full burden. It states return value is 'candidates for linking' but does not disclose matching algorithm, side effects, or pagination behavior.

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?

Three sentences, each earning its place; first sentence front-loads purpose, no fluff.

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?

Adequate for a search tool: explains purpose, parameters, return. Missing explanation of pagination (page & size) and behavior details; no output schema, but description covers key aspects.

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

Parameters4/5

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

Schema descriptions cover 100% of parameters. Description adds value by explaining how parameters relate to the tool's purpose (scoping search, matching defects) and what returns, beyond schema.

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?

Description states specific verb 'Find' and resource 'test results matching a defect pattern within a launch', and distinguishes from sibling tools by mentioning flaky detection and root cause grouping.

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

Usage Guidelines4/5

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

Explicitly says when to use: 'detect flaky tests and group failures by root cause' and explains optional parameter usage. Lacks explicit alternatives or when-not-to-use, but clear context is provided.

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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