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oranger07
by oranger07

search_clause_vector

Search legal clauses by semantic meaning to retrieve relevant candidates with similarity scores.

Instructions

按条款内容做语义检索,返回候选条款(含相似度)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
top_kNo
law_idNo
region_typeNo
article_numberNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries full burden but only states it performs semantic search and returns similarity. It does not disclose read-only nature, potential side effects, authentication needs, or rate limits.

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 description is a single sentence, very concise, but lacks necessary detail for parameters and usage, making it insufficiently structured for an agent.

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?

Despite having an output schema, the description omits parameter explanations and usage context for optional filters. The tool has moderate complexity (5 params, 1 required) but the description does not provide enough information to use it effectively.

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

Parameters1/5

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

Schema description coverage is 0%, meaning parameters have no descriptions. The tool description does not explain any of the five parameters (query, top_k, law_id, region_type, article_number), leaving agents to infer meaning from names alone.

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 clearly states the verb 'semantic search' and the resource 'clause content', and indicates the return of candidate clauses with similarity. It distinguishes from siblings like law_article_search (likely keyword) and search_law_name_vector (name search).

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?

The description provides no guidance on when to use this tool versus alternatives, nor does it mention any prerequisites or exclusions. It only states what the tool does.

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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