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Get Cloud endpoint

projects_cloud_endpoint_get
Read-onlyIdempotent

Read one HTTP endpoint, including its TypeScript source. Use the id from projects_cloud_get.

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": {
      "project_id": "<project_id>",
      "endpoint_id": "<endpoint_id>"
    },
    "name": "projects_cloud_endpoint_get"
  }
}

Input Schema

NameRequiredDescriptionDefault
project_idYesUUID of a Bunstation project owned by the authenticated user.
endpoint_idYesEndpoint id from projects_cloud_get.

Output Schema

NameRequiredDescriptionDefault
idYes
urlYes
nameYes
pathYes
methodYes
sourceYes
statusYes
truncatedYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world behavior, so the bar is low; the description adds real content context by noting the TypeScript source is returned. It does not mention error behavior for missing projects/endpoints, but the output schema covers return shape.

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?

Two sentences, zero waste, with the action and the key payload fact front-loaded and the id source trailing as supporting guidance.

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 two-parameter read tool with full schema coverage and an output schema, nothing essential is missing. Only failure-mode behavior (unknown project or endpoint) is left unstated, which is minor against the structured fields.

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%, with both project_id (UUID of an owned project) and endpoint_id fully documented, so the baseline applies. The description only restates where endpoint_id comes from and adds no format or semantic detail beyond the schema.

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 and resource ("Read one HTTP endpoint") plus the notable payload ("including its TypeScript source"), which separates it from the sibling projects_cloud_get that supplies the id. An agent can tell exactly what it retrieves without opening the schema.

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

Usage Guidelines4/5

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

Gives an explicit prerequisite path for the required endpoint_id ("Use the id from projects_cloud_get"), which is the main usage friction here. It does not state when-not to use it or contrast with projects_cloud_endpoint_create/update, keeping it short of a 5.

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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