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LEI Entity Details

business.lei.lookup
Read-onlyIdempotent

Full details for a legal entity by 20-character LEI code — legal name, registered address, headquarters, legal form, registration date, renewal date, status. Use LEI from search results (GLEIF)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
leiYes20-character Legal Entity Identifier code (e.g. "HWUPKR0MPOU8FGXBT394" for Apple Inc)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already indicate readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true, confirming it's a safe read operation. The description adds value by listing the return fields (legal name, address, etc.) but does not disclose additional behavioral traits beyond what annotations provide.

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 two sentences, front-loaded with the core purpose, and every sentence adds value. No extraneous information.

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

Completeness5/5

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

With only one required parameter and an output schema (indicated by context signals), the description sufficiently lists the return fields. It is complete for a simple lookup tool.

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 coverage is 100%, and the schema already describes the 'lei' parameter with min/max length. The description adds context ('20-character LEI code' and 'Use LEI from search results (GLEIF)') but does not significantly add meaning beyond the schema. Baseline 3 is appropriate.

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 it provides full details for a legal entity by 20-character LEI code, listing specific fields (legal name, address, etc.). It distinguishes itself from siblings like business.lei.search (which searches for LEIs) and business.lei.relationships (which shows relationships).

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?

It explicitly says 'Use LEI from search results (GLEIF)', providing clear context for when to use this tool. It implies the tool is for retrieving details after obtaining an LEI, though it does not explicitly state when not to use it or mention alternatives.

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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