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mshegolev

allure-testops-mcp

allure_list_launches

Read-onlyIdempotent

List the most recent launches for an Allure project, sorted newest first, with pass/fail/broken/skipped counts and pagination for browsing results.

Instructions

List recent launches for a project, newest first.

Each launch carries a pass/fail/broken/skipped breakdown from Allure's statistic field. Pagination info is returned in the pagination block (use next_page to continue).

Args: project_id: Allure project ID. page: 0-based page index. size: Items per page (1-100; 20 is usually enough for triage).

Returns: dict with keys: - project_id (int) - count (int): items in this response - pagination (dict): page / size / total / total_pages / has_more / next_page - launches (list): each with id / name / status / created_date / passed / failed / broken / skipped / total

Examples: - "Last 10 launches for project 63" -> project_id=63, size=10 - "Older launches beyond page 1" -> repeat with page=1

Don't use when:
- You need test results inside a launch (``allure_get_test_results``).
- You need just the latest FAILED/BROKEN tests (``allure_search_failed_tests``).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesAllure project ID.
pageNo0-based page.
sizeNoItems per page (1-100).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYes
countYes
paginationYes
launchesYes
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the tool's safety profile is known. The description adds value by detailing the return structure (pagination block, launch breakdown) and pagination behavior, which goes beyond annotations.

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 well-structured with clear sections (Args, Returns, Examples, Don't use when) and is concise. Every sentence adds necessary information without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (pagination, detailed return structure), the description covers all key aspects: parameter details, return format with field descriptions, usage examples, and sibling differentiation. It is complete for an agent to correctly select and invoke the tool.

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?

Input schema has 100% description coverage, so parameters are well-documented. The description adds a usage hint for the 'size' parameter ('20 is usually enough for triage'), which provides additional context beyond the 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?

The description clearly states the action ('List recent launches'), the resource ('launches for a project'), and ordering ('newest first'). It also distinguishes from sibling tools by explicitly stating alternatives in the 'Don't use when' section.

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 provides explicit guidance on when to use the tool (to list launches with breakdown and pagination) and when not to use it, naming two alternative tools (allure_get_test_results, allure_search_failed_tests). This clearly helps the agent decide between siblings.

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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