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Fintel Discovery — Financial Intelligence for AI Agents

by io.github.findimitrov
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Search GLEIF for Legal Entity Identifier (LEI)

SearchLEI
Read-onlyIdempotent
    Search the Global Legal Entity Identifier Foundation (GLEIF) database
    for Legal Entity Identifiers (LEIs) by entity name. Returns the 20-character
    LEI code, legal name, registration status, legal address, and jurisdiction.

    Use this tool when:
    - You need the LEI for a financial institution or fund company
    - You want to verify the legal registration of a firm
    - You are cross-referencing SEC EDGAR entities with their global LEI
    - You need to look up parent/subsidiary relationships (use GetLEIDetail)

    LEIs are required for regulatory reporting under MiFID II, EMIR, and Dodd-Frank.
    Cover 2M+ legal entities globally across 200+ jurisdictions.

    Source: GLEIF API (api.gleif.org). No API key required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $defs / LEISearchParams / properties / mcp_prompt_id / default
      Previous value: -"5f4db44b-e5cc-4f3a-8da3-ac591a019c81"New value: +"f258bd16-f060-4e4a-a55d-221a0484866d"
  2. Changed1 schema field changed
    • changedInput schema / $defs / LEISearchParams / properties / mcp_prompt_id / default
      Previous value: -"d9f77642-e017-4785-9150-e658c2dba3a0"New value: +"5f4db44b-e5cc-4f3a-8da3-ac591a019c81"
  3. Changed1 schema field changed
    • changedInput schema / $defs / LEISearchParams / properties / mcp_prompt_id / default
      Previous value: -"dbe99169-c071-4ed4-9ae9-8bbfb9a88ad8"New value: +"d9f77642-e017-4785-9150-e658c2dba3a0"
  4. Changed1 schema field changed
    • changedInput schema / $defs / LEISearchParams / properties / mcp_prompt_id / default
      Previous value: -"3775b46a-5aa8-4586-af57-2453c8bcd08c"New value: +"dbe99169-c071-4ed4-9ae9-8bbfb9a88ad8"
  5. Changed1 schema field changed
    • changedInput schema / $defs / LEISearchParams / properties / mcp_prompt_id / default
      Previous value: -"d81a5175-11e9-494a-baa5-71d4ffad4ab9"New value: +"3775b46a-5aa8-4586-af57-2453c8bcd08c"
  6. Changed1 schema field changed
    • changedInput schema / $defs / LEISearchParams / properties / mcp_prompt_id / default
      Previous value: -"9e7f8798-7d22-4378-b93d-179c6f8cb854"New value: +"d81a5175-11e9-494a-baa5-71d4ffad4ab9"
  7. Changed1 schema field changed
    • changedInput schema / $defs / LEISearchParams / properties / mcp_prompt_id / default
      Previous value: -"9919ff85-e960-472f-863b-3de4c5abed9f"New value: +"9e7f8798-7d22-4378-b93d-179c6f8cb854"
  8. Changed1 schema field changed
    • changedInput schema / $defs / LEISearchParams / properties / mcp_prompt_id / default
      Previous value: -"38452924-d5df-4668-b51c-d7cd5acabc09"New value: +"9919ff85-e960-472f-863b-3de4c5abed9f"
  9. Changed1 schema field changed
    • changedInput schema / $defs / LEISearchParams / properties / mcp_prompt_id / default
      Previous value: -"fa72f604-6239-428b-81df-11f07c2c8d00"New value: +"38452924-d5df-4668-b51c-d7cd5acabc09"
  10. Changed1 schema field changed
    • changedInput schema / $defs / LEISearchParams / properties / mcp_prompt_id / default
      Previous value: -"7b866f24-13ab-4e54-8d3a-f775612c393f"New value: +"fa72f604-6239-428b-81df-11f07c2c8d00"
  11. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context: it names the upstream source (GLEIF API), states that no API key is required, and lists the returned fields. It does not mention rate limits or pagination, but the annotations lower the bar and the added context is meaningful.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with a clear opening sentence, a bulleted use-case list, and a source line. Some background details (MiFID II, EMIR, Dodd-Frank, 2M+ entities) are not strictly necessary for invocation, but they are brief and do not obscure the actionable guidance.

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?

The description covers purpose, when to use, the alternative tool, source, and authentication requirements. An output schema exists, so return-value details are not required. It does not mention the limit/country parameters or pagination, but the core search workflow is fully described and the annotations cover safety.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for parameter meaning, but it only mentions searching 'by entity name.' It does not explain the limit, country filter, or the many nested tracking/filtering parameters inside the params object. The description adds minimal parameter semantics beyond what the schema already provides.

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 uses a specific verb ('Search') and resource ('GLEIF database') and clearly states the input (entity name) and output fields (LEI code, legal name, registration status, legal address, jurisdiction). It also distinguishes itself from GetLEIDetail by explicitly naming that sibling for parent/subsidiary lookups, so an agent can tell them apart.

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

Usage Guidelines5/5

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

The description provides an explicit 'Use this tool when' list covering common scenarios and names GetLEIDetail as the alternative for parent/subsidiary relationships. This gives clear selection guidance beyond what the schema or annotations convey.

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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