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Deploy repository to production

deploy-repository-tool
Destructive

Trigger a production deploy for one of your team's connected repositories. The repository must have a deploy trigger configured — either a deploy hook URL or a GitHub Actions workflow — in its Coderbuds settings. Identify the repository by name (e.g. "saas") or by full name (e.g. "patchstack/saas"). This ships whatever is currently merged; it is not a dry run. Use GetUndeployedPullRequestsTool first if you want to see what will go out.

Input Schema

NameRequiredDescriptionDefault
repositoryYesThe repository to deploy, by name (e.g. "saas") or full name (e.g. "patchstack/saas"). Must be connected to your team and have a deploy trigger configured.

Output Schema

NameRequiredDescriptionDefault
methodYesHow the deploy was triggered: "hook" or "workflow".
messageYesA human-readable summary of the outcome.
successYesWhether the deploy was triggered.
repositoryYesThe repository that was deployed.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

The annotations already flag destructiveHint=true and openWorldHint=true, so the safety profile is partly covered; the description still adds real value by spelling out what the destruction means ("ships whatever is currently merged; it is not a dry run") and by surfacing the trigger-configuration prerequisite. It omits auth/permission requirements and whether a deploy is idempotent or repeats if called twice.

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?

Four short sentences, front-loaded with the action, then prerequisite, then identifier format, then the dry-run caveat and alternative. Nothing is padding and there is no duplication of boilerplate.

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?

For a one-parameter mutation tool with an output schema (return values need not be explained) and annotations covering the safety profile, the description covers purpose, precondition, argument format, and the irreversibility caveat. An agent has everything needed to call it 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 coverage is 100% and the single parameter already documents both naming formats and the trigger requirement, so the schema carries the semantics. The description repeats the same examples ("saas", "patchstack/saas") rather than adding new meaning such as case sensitivity or ambiguity resolution across teams.

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?

States a specific verb and resource: "Trigger a production deploy for one of your team's connected repositories." It is clearly differentiated from read-only siblings such as get-deployments-by-person-tool and get-undeployed-pull-requests-tool, which report rather than act.

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

Usage Guidelines5/5

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

Gives an explicit prerequisite (the repo must have a deploy hook URL or GitHub Actions workflow configured), explains two accepted identifier formats, and names the alternative: "Use GetUndeployedPullRequestsTool first if you want to see what will go out." That is when-to-use, when-not, and the alternative in a few sentences.

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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