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search_entities

Search for companies, operators, manufacturers, or governments by name, type, or country with fuzzy name matching. Locate regulatory entities in space filings.

Instructions

Search regulatory entities (companies, operators, manufacturers, governments) by name, type, or country. Supports fuzzy name matching.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoFuzzy search on entity name and aliases
pageNoPage number (default 1)
typeNoFilter by entity type (OPERATOR, MANUFACTURER, GOVERNMENT, etc.)
countryNoFilter by country code (US, GB, FR, etc.)
per_pageNoResults per page (default 25, max 100)
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It only mentions 'supports fuzzy name matching' but fails to disclose pagination behavior, result ordering, or any rate limits. For a search tool, key behavioral traits are missing.

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 two sentences long with no redundant information. It is front-loaded with the core action and resource. Could be slightly more structured but remains efficient.

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

Completeness3/5

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

For a search tool with 5 optional parameters and no output schema, the description sets adequate context but does not explain return format, pagination details, or result scope. It is minimally complete but leaves gaps for an agent.

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 description coverage is 100%, so the schema already documents all 5 parameters. The description adds only that search is fuzzy and can filter by name, type, country. This is baseline value, not significantly enhancing understanding.

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 the verb 'Search' and the resource 'regulatory entities' with examples (companies, operators, manufacturers, governments). This immediately distinguishes it from sibling tools that search different entities like satellites or filings.

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 implies usage for finding entities by name, type, or country, but does not explicitly mention when to use this tool over alternatives like search_screening or get_entity_profile. No exclusions or when-not-to-use guidance is provided.

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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