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release-radar

Latest GitHub deploy/release

github_latest_deploy

Low-level building block: the latest GitHub deployment for a repo (falls back to the latest release), returning sha + timestamp. Used internally by whats_broken_since_last_deploy. GitHub: GET /repos/{owner}/{repo}/deployments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repoYesGitHub repo name.
ownerYesGitHub repo owner/org.
environmentNoFilter deployments to this environment.

Schema Changelog

Changes observed during successful MCP inspections.

  1. 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 full burden and does disclose real behavior: the fallback from deployments to releases, the returned fields, and the underlying REST endpoint (GET, implying a safe read). It omits auth requirements and how the 'latest' tie-break works, but the fallback and return contract are genuinely informative beyond structured data.

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?

Three tightly packed sentences with zero filler: role, fallback plus return contract, consumer, and endpoint. Everything is front-loaded and each clause earns its place.

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 simple 3-param read tool with no output schema and no annotations, the description covers return values, fallback behavior, and the API surface, which is most of what an agent needs. It leaves minor gaps around authentication and environment-filter edge cases, but is otherwise complete enough to invoke correctly.

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 owner, repo, and the environment filter are already fully documented in the schema. The description adds no meaning about parameter usage (e.g., what environment values look like or how filtering interacts with the release fallback), so the 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?

Names a specific verb+resource ('the latest GitHub deployment for a repo'), discloses the fallback to the latest release, and states exactly what is returned (sha + timestamp). It also positions itself against the sibling that consumes it, so an agent can distinguish this low-level primitive from whats_broken_since_last_deploy without opening any schema.

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?

Calling it a 'low-level building block' used internally by whats_broken_since_last_deploy strongly implies that the higher-level tool is usually the right entry point, which is useful routing context. However, it never states when an agent should call this tool directly versus delegating, and gives no exclusions or prerequisites, so the guidance remains implied rather than explicit.

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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