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Company filings and insiders

get_company_research
Read-onlyIdempotent

Company filings, quarterly insider transaction disclosures, aliases, headquarters and legal-entity relationships, with source licenses and explicit coverage dates. Not a live trading feed. For research and education only; not financial advice or an investment signal.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerYesUS ticker symbol, e.g. AAPL

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already establish readOnly=true, idempotent=true, and destructive=false. The description adds value by disclosing data provenance details (source licenses, explicit coverage dates) and by stating the data is not a live trading feed or investment signal, which helps prevent misuse. It stops short of describing return shape or pagination, but for a safe read-only tool this is reasonable.

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 a single front-loaded sentence listing the main content categories, followed by brief caveats. It is economical and contains no filler, though the comma-separated list is somewhat dense.

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?

For a single-parameter read-only tool with strong annotations, the description covers the data scope, provenance, freshness caveat, and intended use. There is no output schema, but the description's content list gives an agent a reasonable expectation of what will be returned. It could be more complete if it named sibling alternatives, but that gap is captured in usage guidelines.

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?

The input schema already fully describes the only parameter, 'ticker', including a US ticker example. The description does not add parameter-specific semantics, but with 100% schema coverage the baseline of 3 is appropriate.

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?

The description names a specific resource and enumerates concrete content categories: company filings, quarterly insider transaction disclosures, aliases, headquarters, legal-entity relationships, source licenses, and coverage dates. It does not explicitly contrast itself with sibling tools like get_company_evidence, so it is clear but not fully differentiated.

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?

The description provides contextual boundaries: it is not a live trading feed and is intended for research/education only, not as financial advice or an investment signal. However, it gives no explicit guidance on when to choose this tool over nearby alternatives such as get_company_evidence or get_fundamentals.

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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