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explorium-ai

Explorium AgentSource MCP Server

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by explorium-ai

enrich_businesses_financial_metrics

Get financial metrics, profitability indicators, and executive leadership details for public companies in bulk, including EBITDA, revenue, ROA, and peer comparisons.

Instructions

Get financial metrics for public companies in bulk.
You may also use this tool when looking for leadership information (CEO, CTO, CFO, etc.)

Returns:
- Financial metrics including EBITDA, revenue, and cost of goods sold (COGS)
- Profitability indicators like ROA (Return on Assets) and ROC (Return on Capital)
- Asset turnover and working capital figures
- Price-to-earnings ratio and enterprise value metrics
- Executive leadership details including names, titles, and compensation
- Earnings surprises with actual vs. estimated results
- Peer companies for competitive analysis
- Total shareholder return (TSR) metrics for various time periods

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoOptional ISO 8601 timestamp for financial metrics
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 exist, so the description must fully disclose behavioral traits. It mentions the tool returns data but omits prerequisites (e.g., business IDs from match_businesses, noted only in schema), potential rate limits, or any side effects. The 'in bulk' hint is vague.

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 a purpose line and a bulleted list of returns. Some redundancy exists (e.g., 'leadership information' repeated in both line and list), but overall it is efficient and front-loaded.

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?

Given the complexity and absence of output schema, the description comprehensively lists the return fields (financial metrics, leadership, earnings, peers, TSR). However, it fails to mention constraints like maximum batch size (50 from schema) or rate limits, leaving minor gaps.

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% for both parameters, so baseline is 3. The description does not add parameter-specific semantics beyond what the schema already provides (e.g., date format, business IDs source). No additional value.

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's purpose: 'Get financial metrics for public companies in bulk.' It also mentions additional use for leadership information, effectively distinguishing it from sibling tools like enrich_businesses_firmographics or enrich_businesses_company_ratings.

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 provides clear context on when to use the tool (financial metrics and leadership info), but lacks explicit when-not-to-use guidance or comparisons to alternatives. The mention 'You may also use this tool when looking for leadership information' gives positive direction but no 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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