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search_targets

检索靶点树(rs_target,9.5k 行):靶点名、别名、父节点。

Input Schema

NameRequiredDescriptionDefault
limitNo返回条数,默认 20,硬上限 20(超出自动压低)
fieldsNo列裁剪,取值见返回列名;默认给摘要列
offsetNo翻页偏移,默认 0;offset+limit 不得超过 1000
keywordYes靶点名或别名

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / limit / description
      Previous value: -"返回条数,默认 20,硬上限 50(超出自动压低)"New value: +"返回条数,默认 20,硬上限 20(超出自动压低)"
    • changedInput schema / properties / offset / description
      Previous value: -"翻页偏移,默认 0"New value: +"翻页偏移,默认 0;offset+limit 不得超过 1000"
  2. First observed

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does add real context: the dataset size (9.5k 行) and the tree/hierarchy nature including parent nodes. However it says nothing about return shape, the hard 20-row cap, or the 1000 offset ceiling that the schema enforces, so the behavioral picture is only partial.

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 compact sentence that front-loads the resource and the searchable fields with no filler. It is efficient, though the terseness borders on under-specification for a tool with pagination constraints.

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 read-only search with 100% schema coverage and no output schema, the definition is minimally sufficient. It omits the practical limits (20-row hard cap, 1000 offset ceiling) and any signal distinguishing it from get_target_detail, leaving the agent to infer routing.

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%, so every parameter (limit, fields, offset, keyword) is already documented in the schema, including the hard cap and pagination ceiling. The description's mention of name/alias/parent node overlaps with the keyword parameter description and adds no syntax or format detail beyond the schema.

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?

States a specific verb (检索/search) and resource (靶点树/target tree) and names the searchable fields (靶点名、别名、父节点), so the agent knows exactly what this returns rows from. It does not distinguish itself from siblings such as get_target_detail or search_drugs_by_target, which share the target domain.

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 explicit guidance on when to use this search versus get_target_detail for a single target, nor when to prefer search_drugs_by_target. Usage is only implied by the word 检索 and the listed searchable fields.

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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