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thana0623

prompts-mcp-server

by thana0623

check_requirements

Check requirements for clarity by running five standard checks. Identifies ambiguities and generates clarifying questions to avoid assumptions.

Instructions

【需求澄清】执行 5 项需求明确标准检查。不明确时生成追问问题,禁止猜测执行。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskDescriptionYes用户提出的任务需求描述
Behavior3/5

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

With no annotations, description carries burden. It discloses the no-guessing rule and question generation, but lacks detail on the 5 standards and output format.

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?

Extremely concise with two sentences; front-loaded with purpose and key behavioral rule. No fluff.

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?

Lacks description of return value (likely list of questions or report). For a tool with no output schema, this is a notable gap. Sibling tools suggest a workflow but missing output context.

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 parameter has 100% schema coverage; description does not add significant new meaning beyond using the parameter in context. Baseline score 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?

Description clearly states the tool checks requirements against 5 clarity standards and generates follow-up questions. It is specific and distinct from sibling tools like make_plan.

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?

Explicitly says to generate questions when unclear and prohibits guessing, providing clear usage guidance. Could mention when to prefer this tool over alternatives.

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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