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Shylendra

bearer-mcp-server

by Shylendra

Deploy Service

deploy_service

Trigger a deployment for a project to a specified environment (e.g., staging, production) and return a deployment ID for tracking.

Instructions

Triggers a deployment for a project to a target environment. Simulates the deployment pipeline and returns a deployment ID for tracking.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
branchNoGit branch or tag to deploymain
messageNoDeployment notes or reason
commitShaNoSpecific commit SHA to deploy (uses branch HEAD if omitted)
projectIdYesThe project ID to deploy
environmentNoTarget deployment environmentstaging
Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It does disclose that the deployment pipeline is simulated and that a deployment ID is returned, which is useful. However, it does not explain side effects, permissions, or what happens after the simulation, leaving gaps in transparency.

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 two sentences, effectively communicating the core action, the simulation nature, and the return value. There is no fluff or repetition, making it highly concise and front-loaded.

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

Completeness3/5

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

Given the tool has 5 parameters and no output schema, the description explains the return value (deployment ID) but does not detail the response structure, possible errors, or specific simulation behaviors. It is adequate for a simple tool but leaves some contextual gaps.

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 schema already documents all five parameters. The description adds no additional meaning to the parameters themselves, such as how the environment or commit SHA interact with the simulation. 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?

The description clearly states the tool triggers a deployment for a project to a target environment, using specific verbs and resources. It also mentions the simulation aspect, distinguishing it from the sibling tools which are focused on project creation, API keys, metrics, logs, and diagnostics.

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 description implies usage when a deployment needs to be triggered, but it does not explicitly state when to use this tool versus alternatives, nor does it provide exclusions or prerequisites. It is not misleading, but the guidance is implicit 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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