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oranger07
by oranger07

get_clause_classifications

Retrieve legal classifications of audit clauses by law ID, clause type, or keyword. Returns up to top_k results from seven predefined categories.

Instructions

查询条款法定属性分类(7 类 clause_type)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
top_kNo
law_idNo
keywordNo
clause_typesNo

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 should disclose behavioral traits. It only states the tool queries classifications but does not mention that it is read-only, how it handles empty parameters, or what side effects (if any) exist. The behavior is minimally implied.

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?

The description is a single concise sentence, providing the core purpose without unnecessary words. However, it could be slightly expanded to add value while remaining concise.

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?

Given 4 parameters and an output schema, the description is incomplete. It does not explain parameter usage, output format, or provide enough context for an agent to invoke the tool correctly. The output schema exists but is not referenced.

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

Parameters2/5

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

Schema coverage is 0%, and the description does not explain any of the 4 parameters (top_k, law_id, keyword, clause_types). The mention of '7 clause types' hints at the clause_types parameter but does not clarify its use or the role of other parameters.

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 clearly states the tool queries clause classifications and mentions 7 clause types, providing a specific verb+resource combination. However, it does not distinguish the tool from siblings like search_clause_vector or law_article_search, which may have overlapping functionality.

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?

No guidance is provided on when to use this tool versus alternatives. The description lacks context about typical use cases, prerequisites, or scenarios where this tool is preferred.

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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