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by kula-ai

find_companies

Search the global company catalog by name to obtain company IDs for use in candidate search.

Instructions

Search the global company catalog. Returned IDs map to current_company_ids on candidate search.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query — matched against company name
pageNoPage number (default: 1)
limitNoItems per page, max 100 (default: 20)
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits like read-only status, pagination details, or result ordering. It only mentions that returned IDs map to candidate search, omitting other behaviors.

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 concise sentences, front-loaded with the primary action and followed by a key usage hint. No unnecessary words.

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?

Without an output schema, the description should clarify return format and pagination behavior. It mentions mapping IDs but omits details about other fields or paging, leaving gaps for AI agent decision-making.

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 coverage is 100%, so the schema describes all parameters. The description adds minimal semantic value beyond schema, linking results to candidate search but not enhancing parameter understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Search the global company catalog' and provides context about returned IDs. However, it does not differentiate from the sibling tool 'search_companies', leaving ambiguity about when to use which.

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 obtaining company IDs for candidate search, but does not specify when not to use it or provide alternatives. It lacks explicit guidance on selection among similar tools.

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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