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explorium-ai

Explorium AgentSource MCP Server

Official
by explorium-ai

enrich_businesses_strategic_insights

Get strategic insights for public companies from SEC filings, including focus areas, target markets, product roadmaps, marketing strategies, and partnership details.

Instructions

Get strategic insights for public companies.
Returns:
- Strategic focus areas and company value propositions from SEC filings
- Target market segments and customer demographics
- Product development roadmaps and innovation initiatives
- Marketing and sales strategies from public disclosures
- Strategic partnerships and acquisition information
- Company identifiers including ticker symbols and CIK numbers
- Links to official SEC filings and documents
- Filing dates and form types for regulatory submissions

Do NOT use this when you need to find employees at a company.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
business_idsYesList of Explorium business IDs from match_businesses
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses the data source (SEC filings) and that returns are based on public disclosures. It does not explicitly state idempotence or safety, but 'Get' implies a read-only operation. Slight improvement could be made by confirming no side effects.

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 well-structured with bullet points for clarity. It is somewhat lengthy but each bullet adds value. The purpose and caution are front-loaded. Could be slightly more concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given one parameter, no output schema, and a clear domain, the description covers purpose, data sources, output types, usage caveats, and parameter context. It is complete for an AI agent to select and invoke this tool.

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 coverage is 100% with a single parameter 'business_ids' already described as 'List of Explorium business IDs from match_businesses'. The description does not add further parameter details, so it meets the baseline but does not exceed.

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 strategic insights for public companies, listing specific outputs like strategic focus areas, target markets, and SEC filing links. This distinguishes it from similar sibling tools that focus on financial metrics, workforce trends, etc.

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?

Provides an explicit when-not-to-use instruction: 'Do NOT use this when you need to find employees at a company.' This guides the agent away from inappropriate use and implies an alternative tool for employee data.

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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