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r28ai

GitHub + Linear Dev Workflows

by r28ai

github_checks_list_annotations

Read-onlyIdempotent

List a check run's annotations to see each failure with file, line range, level, and message, revealing why a build is red before downloading logs.

Instructions

List a check run's annotations: each failure with the file, the line range, a level and a message, already extracted by whoever ran the check. The cheapest way to find out why a build is red — try this before downloading any log. GitHub returns at most 50 per page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoThe page number of the results to fetch. Defaults to 1.
repoYesThe name of the repository without the `.git` extension. The name is not case sensitive.
ownerYesThe account owner of the repository. The name is not case sensitive.
perPageNoThe number of results per page (max 100). Defaults to 30.
checkRunIdYesThe unique identifier of the check run.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint, idempotentHint, openWorldHint), so the bar is lower. The description still adds real context: it explains where the data comes from ('already extracted by whoever ran the check') and discloses the server-side cap ('at most 50 per page'). It does not restate anything from the 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?

Two sentences with zero filler; the purpose and payload shape come first, then the cost-based routing advice. Every clause earns its place.

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?

With no output schema, the description steps in to describe the return shape (failures with file, line range, level, message) and the pagination limit. For a read-only listing tool this leaves no material gap for an agent to call it correctly.

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 owner, repo, checkRunId, page, and perPage are fully documented in the schema. The description only references the check run implicitly and adds no format or syntax detail beyond the schema, so the baseline 3 applies.

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?

States a specific verb ('List') and resource ('a check run's annotations') and enumerates what each annotation contains (file, line range, level, message). This differentiates it from siblings such as github_actions_download_job_logs, which the description explicitly positions against.

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?

Gives explicit when-to-use guidance ('The cheapest way to find out why a build is red — try this before downloading any log'), naming the alternative and the condition that favors this tool. This is exactly the routing information an agent needs.

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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