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oranger07
by oranger07

issue_to_law

Maps audit issues to relevant regulations using dual-vector retrieval and audit issues table for accurate compliance checking.

Instructions

审计问题 → 法规映射(bge 双路向量检索 + audit_issues 富表)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
top_kNo
basis_typeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided. Description mentions retrieval method but does not disclose read-only nature, permissions, or side effects. Minimal behavioral context.

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?

Single sentence is concise but lacks structure. It sacrifices clarity for brevity, missing details that could be in a few more sentences.

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 provides no overview of return format. With 3 parameters and 11 sibling tools, completeness is inadequate for correct invocation.

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 has 0% description coverage and description adds no parameter explanation. 'query', 'top_k', and 'basis_type' are not defined, leaving agent uninformed.

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 maps audit issues to regulations using dual-path vector retrieval and a rich table. It implies a specific function distinct from sibling law search tools, though the exact output format is not described.

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 on when to use this tool versus siblings like law_article_search or search_clause_vector. The description lacks context for appropriate use.

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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