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Startuphub Enrich

startuphub_enrich
Read-onlyIdempotent

Resolve a company domain into a full StartupHub.ai profile: firmographics, tech fingerprint, and funding history. Example: startuphub_enrich({ domain: "anthropic.com", _apiKey: "your-key" })

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYesCompany domain to enrich, e.g. "anthropic.com" (bare domain, no scheme)
_apiKeyYesStartupHub.ai API key (get one at https://www.startuphub.ai (My Account → API, up to 3 keys) — docs: https://www.startuphub.ai/api-docs)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds what the response contains but no behavioral details beyond that, such as rate limits or failure behavior; with annotations doing the heavy lifting, this is adequate but not rich.

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?

Two sentences front-load the outcome and immediately give a clear invocation example. There is no filler, and the description earns its place without repeating the entire schema.

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?

For a simple two-parameter read-only tool with full schema coverage and annotations, the description covers the return contents and usage. It does not detail exact output structure or error cases, but nothing essential is missing for an agent to invoke it correctly.

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%: both domain and _apiKey are documented with format and acquisition details. The description adds only a call example, which is already present in the schema examples, so it provides no additional parameter semantics beyond the baseline.

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 opens with a specific verb and resource: 'Resolve a company domain into a full StartupHub.ai profile.' It then lists the profile's contents (firmographics, tech fingerprint, funding history), clearly distinguishing this from sibling tools focused on startup lists, investors, or trends.

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?

The description gives clear context: call this when you have a company domain and want the full StartupHub.ai profile. It does not explicitly mention alternatives or exclusions, but the use case is unambiguous.

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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