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search_companies

Search for companies by keyword, size, location, and industry to find leads for sales, recruiting, or market research.

Instructions

Allows you to search for companies applying various filtering criteria (st.searchCompanies action).

Linked API actions are queued into a cloud-browser workflow and may take several minutes. The server returns immediately after starting the workflow with {status: 'pending'|'running', pendingReason, workflowId, operationName, message}. To retrieve the final result, call get_workflow_result with the returned workflowId and operationName — it will long-poll until completion or the request budget elapses, then return either the final result or another in-progress snapshot. Do not retry the original tool while a workflow is still running; that creates duplicate queued work.

A pending workflow carries pendingReason: 'queued' means it is waiting its turn behind other work on the same account and will start within minutes. 'outsideWorkingHours' means the account has configured working hours and the workflow is parked until they reopen — possibly the next working day. In that case get_workflow_result returns immediately instead of polling, message states when the window opens, and you should report that to the user rather than looping.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
termNoOptional. Keyword or phrase to search.
limitNoOptional. Number of search results to return. Defaults to 10, with a maximum value of 1000.
filterNoOptional. Object that specifies filtering criteria for companies. When multiple filter fields are specified, they are combined using AND logic.
Behavior5/5

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

With no annotations, the description carries full burden and excels: it discloses async behavior, immediate return of pending status, the need to poll via get_workflow_result, and even distinguishes pendingReason values ('queued' vs 'outsideWorkingHours') with appropriate agent guidance. This is far beyond typical descriptions.

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 relatively long but every sentence addresses an essential aspect of the async behavior or status handling. It is front-loaded with the primary purpose and then expands systematically into workflow details. No wasted words, but a slightly shorter version might be possible.

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

Completeness5/5

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

Though there is no output schema, the description fully explains the response shape, workflow lifecycle, and follow-up action (get_workflow_result). It also covers edge cases like outside working hours and budget elapse, making the tool's usage context complete 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 baseline is 3. The description adds only a general mention of 'various filtering criteria' without enriching parameter semantics. The schema's own descriptions for term, limit, and filter fields are sufficiently detailed, so no additional value is provided.

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 it 'Allows you to search for companies applying various filtering criteria,' with a specific verb and resource. It does not explicitly differentiate from sibling tools like search_people or search_jobs, but the resource is unambiguous and the tool name reinforces the purpose.

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?

Provides detailed workflow guidance: explains that the tool returns immediately, instructs to call get_workflow_result with the returned IDs, and explicitly warns 'Do not retry the original tool while a workflow is still running.' It does not mention alternatives (e.g., search_people), but the workflow-specific usage is clear and actionable.

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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