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explorium-ai

Explorium AgentSource MCP Server

Official
by explorium-ai

enrich_businesses_funding_and_acquisitions

Retrieve comprehensive funding and acquisition records for multiple businesses, including dates, amounts, round types, investors, and IPO details.

Instructions

Get businesses funding and acquisition history in bulk.
Returns:
- Detailed funding history including dates, amounts, and round types
- IPO information including date and size
- List of investors and lead investors for each funding round
- Total known funding value
- Current board members and advisors
- Acquisition information (if applicable)
- First and latest funding round details
- Number of funding rounds and investors

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
business_idsYesList of Explorium business IDs from match_businesses
Behavior2/5

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

No annotations are provided, so the description bears full responsibility for behavioral disclosure. It mentions 'in bulk' but does not indicate whether the operation is read-only or destructive, nor disclose any rate limits or authentication requirements.

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 concise, starting with a clear purpose sentence followed by a bullet list of return fields. The structure effectively communicates the output without unnecessary verbiage.

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?

Given the absence of an output schema, the description compensates by listing expected return fields. However, it does not describe the format or structure of the response, nor potential errors or performance considerations (e.g., max business IDs from schema).

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?

The input schema describes the required business_ids parameter with 100% coverage. The description adds the context that IDs come from match_businesses, but does not provide further semantic detail beyond the schema.

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 tool gets funding and acquisition history in bulk, and lists specific return fields. This distinguishes it from sibling tools like enrich_businesses_firmographics or enrich_businesses_financial_metrics.

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 the tool is for funding/acquisition data, but it does not explicitly state when to use this tool vs. other enrich_businesses_* tools, nor does it mention any prerequisites or exclusions.

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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