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Dweeb1578

Marketing Analytics MCP Server

by Dweeb1578

hubspot_search_companies

Search and filter HubSpot companies by properties like industry, revenue, or creation date. Retrieve matching company records for analysis.

Instructions

Search HubSpot companies with filters (READ-ONLY).

Args: filters: JSON string of HubSpot filter groups array properties: Comma-separated company properties created_after: ISO date filter (>=) created_before: ISO date filter (<=) limit: Max companies (default: 50) after: Cursor token from a previous call's next_cursor for pagination

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
afterNo
limitNo
filtersNo[]
propertiesNoname,domain,industry,numberofemployees,annualrevenue,country,createdate
created_afterNo
created_beforeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, so the description carries the burden. It clearly declares the tool as READ-ONLY, explains pagination with the 'after' cursor, and describes filter format, providing good insight into tool behavior beyond the schema.

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 concise and well-structured: one-line purpose followed by a labeled Args block. Every sentence is informative, no redundancy.

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?

With 6 parameters and no annotations, the description covers all parameters, pagination, and read-only nature. Output schema exists to handle return values. Could briefly mention error handling, but overall adequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description's 'Args' block provides clear semantics for all 6 parameters: filters (JSON string), properties (comma-separated), date filters (ISO), limit (default 50), and after (pagination cursor). This adds essential meaning beyond the schema's bare titles.

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', the resource 'HubSpot companies', and includes 'with filters (READ-ONLY)' to specify scope and safety. It is distinct from sibling tools like hubspot_search_contacts or hubspot_search_deals.

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 does not explicitly state when to use this tool over alternatives or provide exclusions. The 'READ-ONLY' hint implies safe usage, but no comparison to siblings is given.

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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