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release-radar

What's broken since the last deploy?

whats_broken_since_last_deploy

COMPOSITE. Finds the latest GitHub deployment/release for a repo, then queries Sentry for unresolved issues SINCE that deploy's timestamp (the deploy time drives the Sentry window), then looks up who's currently on-call in PagerDuty — and synthesizes one situational-awareness object. Degrades gracefully: if Sentry or PagerDuty creds are absent it returns what it can plus a note. GitHub is required (it's the anchor).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repoYesGitHub repo name, e.g. 'next.js'.
ownerYesGitHub repo owner/org, e.g. 'vercel'.
environmentNoFilter GitHub deployments and Sentry issues to this environment, e.g. 'production'.
sentry_projectNoSentry project slug/id. Falls back to SENTRY_PROJECT env if omitted.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses the dependency chain, the required vs optional credential behavior, and graceful degradation semantics. It doesn't discuss rate limits, cost, or output shape, but the dependency/auth behavior is the key trait and it's covered.

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?

Front-loaded with 'COMPOSITE', then the three stages in execution order, then degradation and requirement notes. Efficient and ordered, though the parenthetical 'the deploy time drives the Sentry window' slightly interrupts flow.

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

Completeness4/5

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

For a 3-source composite with no output schema, the description covers the pipeline, ordering, prerequisites, and failure behavior — enough to call it correctly. It would be stronger if it sketched the returned object's key fields, since no output schema exists.

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?

Schema description coverage is 100%, so baseline would be 3, but the description adds semantics beyond the schema: it explains that the deploy timestamp drives the Sentry window, and that sentry_project falls back to an env var (matching the schema). The environment filter's role across two systems is clarified further by the description.

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 states a precise composite purpose: anchor on the latest GitHub deployment, query Sentry for issues since that deploy, look up PagerDuty on-call, and synthesize a situational-awareness object. It clearly distinguishes itself from the sibling primitives (github_latest_deploy, sentry_recent_issues, oncall_handoff) by being the orchestrating composite.

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

Usage Guidelines4/5

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

It states the core usage context — 'since the last deploy' — and makes the prerequisites explicit (GitHub required; Sentry/PagerDuty optional with graceful degradation). It doesn't explicitly contrast against calling the sibling primitives directly, but the composite framing implies when to prefer it.

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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