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Wang-JQ77

deepseek-litresearch

by Wang-JQ77

plan_research

Generate a research outline with sub-questions and search terms for a scientific question, returning a job ID for user confirmation before executing the full literature search.

Instructions

第一步:为科学问题生成调研大纲(子问题 + 检索词),不执行检索。

返回 job_id 与大纲,供用户确认或修改。确认后调用 execute_research(job_id, ...) 执行。

Args: question: 科学问题。 breadth: 规划阶段拆分的子问题数(1-6,默认取设置里的广度)。 language: 大纲语言,zh | en(默认 zh)。 track: 是否持久化任务到 SQLite(默认 True)。 job_id: 可选——把生成的大纲挂到这个已存在任务上(如 create_research_job 或 recover_research_jobs 恢复的任务),不再新建任务。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
trackNo
job_idNo
breadthNo
languageNozh
questionYes
Install Server

TDQS

A4.8/5.0
Behavior5/5

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

With no annotations provided, the description carries the full behavioral burden and does so well: it states that no search is executed, that it returns an outline and job_id, that track controls SQLite persistence, and that providing job_id avoids creating a new task. These are exactly the side effects an agent needs to know.

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?

The description is compact and well organized: it opens with the purpose and key exclusion, then the workflow, then a clean Args block. Every sentence contributes information without redundancy.

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

Completeness5/5

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

For a 5-parameter tool with no annotations and no output schema, the description covers purpose, workflow, all parameters, persistence behavior, and task attachment. Nothing essential is missing for an agent to select and invoke this tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, yet the description documents every parameter: question, breadth with range 1-6 and default behavior, language with zh/en values, track with default true, and job_id with its attach-to-existing-task semantics. This fully compensates for the empty schema descriptions.

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?

The description states a specific verb and resource: '生成调研大纲' and explicitly says '不执行检索'. It clearly differentiates this planning tool from execute_research, making its purpose unambiguous.

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 description provides an explicit workflow: first generate the outline, have the user confirm or modify it, then call execute_research(job_id, ...). It also explains when to use job_id with create_research_job or recover_research_jobs. It does not enumerate all alternatives, so it stops just 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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