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Airbrake MCP by usefulapi

Get a deploy

airbrake_get_deploy
Read-only

Get one deploy: environment, deployer, repository, revision and version. Airbrake API: GET /api/v4/projects/{project_id}/deploys/{deploy_id}.

Input Schema

NameRequiredDescriptionDefault
deploy_idYesDeploy id (digits, as a string). From airbrake_list_deploys or a group's lastDeployId.
project_idYesAirbrake project id (from airbrake_list_projects).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description goes beyond that by naming the exact fields returned and the underlying API endpoint, giving useful behavioral context; it does not cover error cases (e.g., missing deploy) but that is a minor gap for a simple getter.

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?

Two compact elements – a purpose sentence and the API endpoint – with the verb and resource front-loaded and no filler. Slightly more efficient framing is possible, but nothing is wasted.

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 read-only single-resource getter with annotations covering safety and a fully documented schema, the description is nearly complete, and listing the returned fields compensates for the absent output schema. Only the lack of any error/not-found context keeps it from being fully complete.

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 both parameters (project_id, deploy_id) are already documented, including the pattern and where the id originates. The description only restates the ids inside the endpoint path, adding no new syntax or format detail, so the baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Get one deploy') and enumerates the returned fields (environment, deployer, repository, revision, version), which is more than a tautology. It does not explicitly contrast with the sibling airbrake_list_deploys, though 'one deploy' vs a list tool makes the distinction reasonably inferable.

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?

No explicit when-to-use or when-not-to-use guidance is given; the agent must infer that this fetches a single deploy rather than listing them. The REST endpoint path (with project_id and deploy_id) implies the lookup context, but the routing decision versus airbrake_list_deploys is left implicit.

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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