get_request
Full detail for one request INCLUDING the deliverable spec, agent instructions, and review checklist. Read this before starting work. Accepts a slug or id.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| request | Yes | Request slug or id. |
Full detail for one request INCLUDING the deliverable spec, agent instructions, and review checklist. Read this before starting work. Accepts a slug or id.
| Name | Required | Description | Default |
|---|---|---|---|
| request | Yes | Request slug or id. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the behavioral disclosure burden. It reveals the tool returns a detailed request payload, conveys that it is a read-before-work step, and clarifies the identifier format. It stops short of explicitly stating no side effects or error/not-found behavior, but the 'get' + 'read' framing makes the read-only intent apparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three short sentences, each earning its place: what is returned, when to call it, and how to identify the request. The most important behavioral guidance is front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a single-parameter read tool with no output schema, the description covers the returned content, the input format, and the timing. It could name sibling tools such as list_requests for discovery or explicitly describe the response shape, but nothing essential to a correct first call is missing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% and the parameter description already says 'Request slug or id.' The tool description's 'Accepts a slug or id' merely restates the schema, adding no new semantic detail, so the baseline of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb-resource pair ('get request'), states it returns 'full detail for one request,' and enumerates the contained sections (deliverable spec, agent instructions, review checklist). This clearly separates it from list-oriented and submission-oriented siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
'Read this before starting work' gives an explicit temporal trigger for calling this tool. It does not name alternatives or state when not to use it, but the context of retrieving full request detail before acting is clear.
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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