Skip to main content
Glama

Search Global Legal Entities (LEI)

business.lei.search
Read-onlyIdempotent

Search 2.5M+ legal entities worldwide by name — companies, funds, government bodies across 200+ countries. Returns LEI code, name, country, city, status, entity category. Filter by country. CC0 open data (GLEIF)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesLegal entity name to search (e.g. "Apple", "Goldman Sachs", "Toyota Motor")
limitNoMax results (default 10, max 100)
countryNoFilter by ISO 3166-1 alpha-2 country code (e.g. "US", "GB", "JP", "DE")

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

A4/5.0
Behavior3/5

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

Annotations already provide readOnlyHint, destructiveHint, idempotentHint, and openWorldHint, so the description's added context (scope, return fields, data source) is useful but not critical. No contradictions.

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 four concise sentences, front-loading key information (what it searches, scale, returns), with 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?

For a search tool, it covers scope, return fields, and data license. Combined with annotations and schema, it is nearly complete, though pagination or response size limits could be mentioned.

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 input schema has 100% coverage with descriptions for all three parameters; the description only echoes the filter-by-country aspect and does not add new semantics beyond the schema.

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 searches global legal entities by name, specifies the resource (2.5M+ entities across 200+ countries), and lists return fields, making the tool's purpose distinct from siblings like business.lei.lookup.

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 tells when to use it (name search) and mentions filtering by country and open data access, but does not explicitly mention when not to use it or provide direct alternatives like business.lei.lookup.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.