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Release Radar MCP by usefulapi

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. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden and discloses key traits: it degrades gracefully if Sentry or PagerDuty credentials are absent, returns partial results with a note, and states that GitHub is required as the anchor. It does not cover permission scopes or rate limits, but the core failure/dependency behavior is explained.

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 three tight sentences: it leads with 'COMPOSITE.', then enumerates the three data sources and synthesis, then notes graceful degradation and the required anchor. Every sentence adds necessary information with no waste.

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?

Given the high complexity (three external integrations) and the absence of an output schema, the description covers inputs, required dependencies, and degradation behavior well. However, it only vaguely describes the return value as 'one situational-awareness object', leaving the agent without structure for interpreting results, which is a minor gap.

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 the input schema already documents all four parameters (repo, owner, environment, sentry_project) in detail. The description adds no additional parameter meaning or syntax beyond what the schema provides, making the baseline score of 3 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 states a specific composite purpose: it finds the latest GitHub deploy, queries Sentry for issues since that deploy, looks up PagerDuty on-call, and synthesizes one object. This clearly distinguishes it from siblings like github_latest_deploy or sentry_recent_issues by emphasizing that it combines those sources.

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 'COMPOSITE' label and the described synthesis imply when to use it, but the description does not explicitly say when to prefer this tool over calling the individual sibling tools, nor does it state exclusions or alternative conditions. Usage is left to inference from the tool's purpose.

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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