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Search companies

sdr_search_companies
Read-onlyIdempotent

Search companies by industry, keywords, size, location, technology, or domain to find accounts for sales outreach. Requires at least one filter; paginated results.

Instructions

Search for companies by industry, keywords, size, location, technology or domain. Consumes Apollo credits (~1 credit per page); the call is checked against the per-call credit budget first. Requires at least one filter. Paginated with an opaque cursor; pass it back unchanged. Use it to find accounts, then sdr_search_people with organization_domains, or sdr_enrich_company for details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoResults per page (max 50).
cursorNoOpaque pagination cursor from a previous call. Omit to start at page 1.
domainsNoCompany domains, normalized.
keywordsNoFree-text company keywords.
locationsNoCompany HQ locations.
industriesNoIndustry keywords.
max_creditsNoPer-call credit cap.
technologiesNoTechnologies in use.
revenue_rangesNoRevenue buckets from sdr_lookup_filters kind "revenue_range".
employee_rangesNoHeadcount ranges.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.6/5.0
Behavior5/5

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

Annotations cover read-only/idempotent safety, and the description adds behavior beyond them: credit consumption (~1 credit/page), budget pre-check, and the 'requires at least one filter' constraint. That is exactly the kind of cost/eligibility context annotations cannot express.

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?

Three tight sentences: what it searches, the cost/constraint, and the workflow chaining. Front-loaded and every sentence earns its place.

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?

Complete for a 10-param search tool with full schema coverage and annotations covering safety. Return-value format is not described, but no output schema exists, so a minor gap remains.

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 all 10 parameters are documented in the schema. The description adds a pagination usage hint ('pass it back unchanged') but no syntax or format detail beyond that. Baseline 3 is appropriate.

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?

States a specific verb (Search) and resource (companies) plus the filter dimensions. Clearly distinguishes from sdr_search_people by routing accounts to people search as a follow-up.

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?

Explicitly states preconditions ('requires at least one filter') and names the workflow alternatives: chain to sdr_search_people with organization_domains, or sdr_enrich_company for details. When-to-use is unambiguous.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.