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arturayupov

Lextiva Compliance MCP Server

documents_for_regulation

Given a regulation ID, retrieve all document types it requires or permits, including required clauses for each.

Instructions

Given a regulation id, returns every document type that regulation requires (or optionally permits), with the required clauses for each. Use this when a user asks 'what documents do I need for X?'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
regulation_idYesRegulation id (e.g. 'gdpr', 'ccpa_cpra')
Behavior3/5

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

With no annotations, the description must fully disclose behavior. It states it returns document types and clauses, but lacks details on error handling, authorization needs, or response format. For a read-only tool, this is adequate but not comprehensive.

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 concise: two sentences that first define the tool's action and then give usage context. No unnecessary words.

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

Completeness4/5

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

Given no output schema, the description explains the return value (document types and clauses). It does not mention pagination, error cases, or if the list is exhaustive. However, for a simple retrieval tool, it provides sufficient context.

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?

The schema already covers the single parameter with description and examples. The description adds the specific examples 'gdpr', 'ccpa_cpra' but does not provide additional semantics beyond what the schema offers. With 100% schema coverage, baseline is 3.

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 tool's function: 'returns every document type that regulation requires (or optionally permits), with the required clauses for each'. It includes a specific use case example that distinguishes it from sibling tools like 'regulations_for_document' or 'get_document_type'.

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 explicitly says 'Use this when a user asks "what documents do I need for X?"', providing clear context. However, it does not mention when not to use it or suggest alternative tools for different queries, which would be helpful.

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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