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LEI Parent Company Relationship

business.lei.relationships
Read-onlyIdempotent

Retrieve the direct parent company of a legal entity using its LEI code. Returns parent LEI, relationship type, and status for corporate ownership analysis.

Instructions

Find the direct parent company of a legal entity by LEI code — returns parent LEI, relationship type, and status. Useful for corporate ownership chain analysis (GLEIF)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
leiYesLEI code to find parent company relationship for

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
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.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true, indicating a safe read operation. The description adds context about the GLEIF source and returns, 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 main action and result, and concisely adds a use case. Every sentence adds value with no unnecessary words.

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?

For a simple one-parameter tool with an output schema present, the description is complete. It explains what the tool does, what it returns, and provides context for its use. No additional details are needed.

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 description mentions 'by LEI code', which matches the single parameter 'lei' described in the input schema. With 100% schema coverage, the description adds no new meaning beyond the schema, earning a baseline score of 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?

Description clearly states the tool finds the direct parent company of a legal entity by LEI code, specifies the return fields (parent LEI, relationship type, status), and distinguishes it from siblings like business.lei.lookup and business.lei.search which serve different purposes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions 'useful for corporate ownership chain analysis' implying usage context, but does not provide explicit guidance on when to use this tool versus alternatives, nor does it state when not to use it.

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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