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Get request

get_request
Read-only

One request with its full timeline of comments and changes, files, and Brand Library references.

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": {
      "requestId": "<requestId>"
    },
    "name": "get_request"
  }
}

Input Schema

NameRequiredDescriptionDefault
requestIdYesRequest ID.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds genuine value by disclosing the return payload shape (timeline, comments, changes, files, library references), which matters since no output schema exists. It stops short of noting payload size, whether the timeline is paginated, or access requirements.

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?

A single tight sentence that front-loads the core noun and then the payload contents. Nothing is wasted, though the missing verb makes it read as a label rather than a statement of action.

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?

For a simple one-parameter read tool with annotations and no output schema, the description covers purpose and returns adequately. It is still incomplete on the one genuinely ambiguous point: how this differs from get_request_context, which an agent would plausibly confuse it with.

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?

Single required parameter with 100% schema description coverage, so the schema already documents requestId. The description adds nothing about ID format or where an agent obtains a requestId, which is the correct baseline when the schema carries the load.

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

Purpose3/5

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

The description names the resource and enumerates what comes back (timeline of comments and changes, files, Brand Library references), so the agent knows this is a single detailed request fetch. However, it is a noun-phrase fragment with no verb and no explicit contrast against the closely-named sibling get_request_context or list_requests, leaving the boundary fuzzy.

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

Usage Guidelines2/5

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

There is no statement of when to use this tool versus get_request_context, list_requests, or get_my_work. The agent must infer from the name alone that this is the by-ID detail lookup, and nothing warns about when the lighter context tool would be preferable.

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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