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explorium-ai

Explorium AgentSource MCP Server

Official
by explorium-ai

fetch_businesses_events

Fetch business events in bulk for company research: IPOs, funding rounds, partnerships, office openings/closings, and department changes. Requires business IDs, event types, and a start timestamp.

Instructions

Retrieves business-related events from the Explorium API in bulk. If you're looking for events related to role changes, you should use the prospects events tool instead.

This is a VERY useful tool for researching a company's events and history.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
event_typesYesList of event types to fetch
business_idsYesList of Explorium business IDs from match_businesses
timestamp_fromYesISO 8601 timestamp
Behavior2/5

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It fails to mention any behavioral traits such as rate limits, pagination, result limits, data freshness, or authentication requirements. The minimal description leaves significant gaps for an agent.

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 three sentences long, which is concise. However, the third sentence 'This is a VERY useful tool' is promotional and adds no functional information, slightly reducing efficiency. Still, the structure is clear with purpose, alternative, and value statement.

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?

For a bulk retrieval tool with no output schema, the description does not explain the return format or any pagination/limits. It covers purpose and usage guidelines well but lacks behavioral details. It is moderately complete given the schema richness, but missing output information lowers the score.

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%, with detailed enum descriptions in the schema. The description adds no additional meaning beyond what the schema already provides. It does not explain how to obtain business_ids or the exact format for timestamp_from, relying on the schema. 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?

The description clearly states the tool retrieves business-related events in bulk from the Explorium API, with a specific verb and resource. It also differentiates from the prospects events tool by mentioning role changes as a different use case.

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?

The description explicitly tells when to use this tool and when not to, providing a named alternative (prospects events tool) for role-change events. It also suggests the tool is useful for researching company events and history, giving clear context.

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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