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lei_lookup

Find legal entity identifiers (LEI) by searching with an LEI code or company name. Get global GLEIF data to verify entity identities.

Instructions

Look up a global Legal Entity Identifier (GLEIF) by LEI or name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNo
leiNo
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only states 'look up' without disclosing output format, error behavior, constraints, or side effects. For a lookup tool, minimal behavioral context is given.

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 a single sentence that is front-loaded and contains no redundant or superfluous information. Every word contributes to the core purpose.

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

Completeness2/5

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

Despite the apparent simplicity, the tool has no annotations, no output schema, and undocumented parameters. The description does not address whether q and lei can be used together, validation rules, or the return value structure, making it incomplete for an agent to use confidently.

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%. The description mentions 'by LEI or name' but does not explicitly map q to name and lei to LEI, leaving the parameters ambiguous. Very little meaning is added beyond the schema's bare property names.

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 'look up' with a clear resource 'global Legal Entity Identifier (GLEIF)' and indicates lookup by LEI or name. It is clearly distinct from unrelated sibling tools like search_listings and weather.

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 phrase 'by LEI or name' implies usage context but does not provide explicit when-to-use guidance or exclusions. There are no alternatives mentioned, so usage is implied rather than explicit.

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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