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list_artifacts

Retrieve artifacts from a GitHub Actions run to discover test result files. Pair with parse_artifact to download and parse them.

Instructions

List artifacts from a GitHub Actions run. Use with parse_artifact to download and parse test result artifacts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repoYesGitHub repo in owner/repo format (e.g. "r-marques/testmcp")
runIdYesGitHub Actions run ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It does not say whether the call is read-only (implied by 'list'), whether results are paginated, what the artifact entries contain, or what authentication the repo/runId require. Only the bare 'list' semantics are conveyed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, front-loaded with the action and resource, with no filler. Slightly terse given the absence of any behavioral detail, but nothing is wasted.

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?

For a two-parameter listing tool with no output schema and no annotations, the description covers purpose and a companion tool but omits return shape (what an artifact entry looks like) and any read-only/auth context. Adequate but with clear gaps.

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% and both required parameters (repo, runId) are documented in the schema with format examples. The description adds nothing beyond that, which is the expected baseline when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource (list artifacts) scoped to a GitHub Actions run, which separates it from list_runs and the parse_* siblings. It does not explicitly name list_runs as the alternative for run-level data, so it falls short of full sibling differentiation.

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

Usage Guidelines3/5

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

The second sentence implies a workflow (use alongside parse_artifact to download and parse test result artifacts), which gives the agent a downstream context. It does not state when to reach for this tool versus list_runs or when artifacts would be absent, so guidance is only implied.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.