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Explorium AgentSource MCP Server

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by explorium-ai

fetch_prospects_events

Fetch prospect events like job title changes, company moves, and work anniversaries from the Explorium API using prospect IDs and event types.

Instructions

Retrieves prospect-related events from the Explorium API in bulk.
Use this when querying for prospect-related events about businesses:
Example workflow:
Fetch businesses > Fetch prospects > Fetch prospects events

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
event_typesYesList of event types to fetch
prospect_idsYesList of up to 50 Explorium prospect IDs from match_prospects
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 bears full responsibility. It only states the action and provides a workflow, but does not disclose rate limits, authentication requirements, side effects, or return behavior beyond 'in bulk'. This lack of transparency is a significant gap.

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 extremely concise: two sentences and a workflow hint. Every sentence adds value, and the most important info is front-loaded. No wasted words.

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 could explain return format, but the schema's $defs cover event details. The description lacks behavioral context like pagination or limits, making it adequate but not fully comprehensive.

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%, and the schema already provides detailed descriptions for all parameters, including a comprehensive $defs for event types. The description adds no extra meaning beyond the schema, so 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 verb 'retrieves' and the resource 'prospect-related events in bulk'. It also distinguishes from siblings like fetch_businesses_events by specifying 'prospect-related' and providing a workflow example that shows its position in the pipeline.

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 says 'Use this when querying for prospect-related events about businesses' and gives a workflow example. However, it does not explicitly mention when not to use it or suggest alternatives, which would make it clearer.

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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