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Release Readiness Check

release_readiness_check
Read-onlyIdempotent

Assess release readiness by checking CI status, open bugs, CHANGELOG, release checklist, and rollback plan. Returns blocking issues and readiness flag.

Instructions

Pre-release assessment: CI status, open bugs, CHANGELOG, release checklist, rollback template.

Required token scopes:

  • repo, or public_repo for public-only repos (checks, issues, and file contents access)

Args:

  • owner, repo: Repository coordinates.

  • baseRef (string?): Deprecated compatibility field; ignored.

  • headRef (string?): Branch, tag, or commit SHA to release (defaults to default branch).

  • pullNumber (number?): Uses the PR head commit for CI status.

Returns: isReady flag, blocking issues, CI status, docs check, release checklist, rollback template.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repoNoGitHub repo. Falls back to GITHUB_REPO.
ownerNoGitHub owner. Falls back to GITHUB_OWNER.
baseRefNoDeprecated compatibility field; currently ignored.
headRefNoBranch, tag, or commit SHA to release. Defaults to default branch.
pullNumberNoIf provided, checks the PR's head commit CI status.
rollbackPlanEvidenceNoCaller-provided rollback runbook/reference and whether it was tested.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
repoYes
policyYes
headRefYes
isReadyYes
ciStatusYes
ciSummaryYes
hasChangelogYes
openBugCountYes
policyDigestYes
policySourcesYes
blockingIssuesYes
policyDegradedYes
appliedPolicyRulesYes
rollbackPlanEvidenceYes
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true. The description adds token scope requirements but does not contradict annotations or add significant new behavioral traits beyond what the annotations provide.

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 concise: a one-line summary followed by essential details. Every sentence serves a purpose with no waste.

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, complete schema coverage, existence of output schema, and rich annotations, the description covers all necessary aspects for correct invocation, including a clear list of returned items.

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 the baseline is 3. The description adds a deprecation note for baseRef and mentions rollbackPlanEvidence, but does not significantly extend meaning 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 this is a pre-release assessment checking CI status, open bugs, CHANGELOG, release checklist, and rollback template. It is distinct from siblings like branch_protection_status and quality_gate_status, which focus on different aspects.

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 description mentions required token scopes but does not explicitly state when to use this tool versus alternatives like branch_protection_status or quality_gate_status. Usage context is implied but not explicitly guided.

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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