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release_artifact_evidence

Collect release artifact evidence, cadence, and distribution hints for a podling to assess graduation readiness.

Instructions

Return ReleaseMCP artifact, sidecar, cadence, Incubator naming evidence, and optional release-page and GitHub/Docker Hub/PyPI/Maven distribution hints for one podling.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
release_dist_baseNoOptional ReleaseMCP current release base URL or local release directory; when omitted, ReleaseMCP discovers the podling download page
release_archive_baseNoOptional ReleaseMCP archive.apache.org base URL or local archive directory
release_max_depthNoMaximum ReleaseMCP traversal depth under the podling directory; defaults to 1
release_page_urlNoOptional Apache project release download page URL or local HTML file to inspect; use 'auto' to discover it
include_platformsNoFetch optional ReleaseMCP GitHub, Docker Hub, PyPI, and Maven distribution hints
github_projectNoOptional apache/<project> GitHub repository name; defaults to the podling slug
docker_imagesNoOptional Docker Hub image names in namespace/repository form
pypi_packagesNoOptional PyPI package names; defaults to apache-<podling>
maven_group_idsNoOptional Maven groupIds; defaults to org.apache.<podling>
podlingYesPodling name
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only says 'return' without disclosing side effects, authorization needs, or idempotency. Given the read-like nature, more context on safety is expected.

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?

A single sentence that efficiently conveys the tool's purpose and scope without extraneous words. It is front-loaded with key output types.

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

Completeness2/5

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

No output schema is provided, and the description does not explain the structure of the returned evidence. For a tool with 10 parameters, the return format is critical but unspecified.

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 coverage is 100%, so each parameter is already described in the input schema. The description adds minimal value beyond summarizing the output categories. Baseline 3 is appropriate.

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 what the tool returns (artifact, sidecar, cadence, naming evidence, distribution hints) and for whom (one podling). It distinguishes from siblings like release_visibility and release_vote_evidence by specifying the unique output.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus its siblings (e.g., release_vote_evidence, release_visibility). The description does not mention prerequisites or exclusions.

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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