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Deep peer review (six dimensions) / 深度审稿(六维)

deep_peer_review
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Deep peer review (six dimensions) / 深度审稿(六维) | USE WHEN: the user wants reviewer-grade deep comments, as if reviewed by a strict peer reviewer | ALIASES: 深度审稿, 模拟审稿人, 严格审稿, deep review, reviewer comments | RETURNS: 深度审稿报告

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": {
      "title": "<title>"
    },
    "name": "deep_peer_review"
  }
}

Input Schema

NameRequiredDescriptionDefault
titleYes标题
methodsNo方法
resultsNo结果
abstractNo摘要

Schema Changelog

Changes observed during successful MCP inspections.

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TDQS

B3.2/5.0
Behavior2/5

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 only 'RETURNS: 深度审稿报告', which says nothing about what the report contains, despite the title promising 'six dimensions' that are never enumerated, nor about depth, length, or scoring.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The pipe-delimited template is short and front-loads the use case, but it wastes space restating the title verbatim, duplicating bilingual aliases, and giving a one-word 'RETURNS' line that conveys almost nothing. Structure is scannable; content density is low.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a four-parameter review-generation tool with no output schema, an agent needs to know what the six dimensions are, what the report looks like, and how much manuscript text to supply. None of that is present, so the definition is under-specified relative to the tool's apparent complexity.

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% (title/methods/results/abstract each carry a Chinese label), so the schema itself does the parameter work. The description adds no guidance on whether these should be full text, excerpts, or summaries, so it sits at the baseline rather than adding value.

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 states a specific action and output: reviewer-grade deep comments 'as if reviewed by a strict peer reviewer', returning a 深度审稿报告. That is clearer than the bare name, but it never distinguishes this tool from close siblings like paper_six_agent_review, pre_submission_review or proposal_review, which all sound like review generators.

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?

The 'USE WHEN: the user wants reviewer-grade deep comments, as if reviewed by a strict peer reviewer' clause gives a concrete triggering condition and a persona (strict reviewer) that shapes expectations. There are no when-not conditions or named alternatives, so an agent facing several review-flavoured siblings still has to guess.

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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