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get_deployment_webhook

Read-onlyIdempotent

Retrieves a team-owned application's deployment webhook URL and required authentication without triggering deployment or exposing tokens.

Instructions

Verify a team-owned application and return its deployment URL and required authentication, without triggering deployment or returning a token.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "uuid": "<uuid>"
    },
    "name": "get_deployment_webhook"
  }
}

Input Schema

NameRequiredDescriptionDefault
uuidYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and open-world behavior, so the safety profile is covered. The description adds meaningful context beyond that: it confirms the call does not trigger deployment and does not return a token, which is exactly the kind of side-effect/token-exposure caveat an agent needs for a deployment-adjacent read.

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?

A single front-loaded sentence with no wasted words. The key return values and the critical exclusions are all present in one pass.

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?

With no output schema, the description does a decent job naming what is returned (deployment URL and required authentication). But it leaves the uuid parameter undefined and does not explain what 'verify' entails or what failure looks like, so an agent still lacks enough detail to call it confidently with the right identifier.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single required parameter 'uuid' has 0% schema description coverage, so the description must compensate—and it does not. 'Team-owned application' only vaguely implies that the uuid identifies an application; no format, source, or meaning of the uuid is given beyond the schema's regex pattern.

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?

The description names a specific operation ('Verify a team-owned application') and its return values ('deployment URL and required authentication'), which distinguishes it from the many plan_*/create_* siblings that provision applications. It is slightly weakened by never mentioning the webhook concept from the tool name, leaving a small ambiguity about what exactly is being verified.

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 negative scope ('without triggering deployment or returning a token') usefully tells the agent what this tool will not do, implying it is a safe pre-check. However, it never names an alternative sibling (e.g., plan_docker_image_application) or states the condition under which an agent should call this instead of a plan/create tool, so usage guidance is only implicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.