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get_earnings_data

Get structured financial data from SEC XBRL filings. Returns revenue, net income, EPS, assets, and more with historical data and YoY growth.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cikNoSEC CIK number
tickerNoStock ticker symbol
conceptNoFinancial concept: revenue, net_income, eps, assets, liabilities, equity, operating_income, gross_profit, cash, debtrevenue

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior2/5

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

No annotations provided, so description must bear burden. Only mentions data returned but does not state read-only nature, authentication needs, rate limits, or error handling. Safety is implied but not explicit.

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?

Single sentence that efficiently states purpose and key outputs. No wasted words; front-loaded with main action.

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

Completeness2/5

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

Lacks details on output format, behavior when multiple identifiers provided, data range, and parameter interaction. No output schema to compensate, leaving significant 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%, so baseline 3. Description adds no extra detail beyond listing example concept values, which are already enumerated in schema. No added semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states it gets structured financial data from SEC XBRL filings and lists specific financial metrics returned. However, it does not explicitly differentiate from sibling tools, though their names suggest different domains.

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?

Implied usage based on sibling tool names (e.g., get_fda_data for FDA data), but no explicit guidance on when to use this tool versus alternatives or any 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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