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SEC Filings (EDGAR)

sec_filings
Read-only

US public company data from SEC EDGAR: company profile, recent filings (10-K, 10-Q, 8-K, Form 4 insider trades, S-1 ...) with direct document links, and optionally the latest annual financials (revenue, net income, assets, liabilities, equity, operating cash flow, diluted EPS). Params: ticker or cik (one required), forms (filter, e.g. ['10-K','8-K']), limit (1 to 50, default 10), include_financials (default false). Price: $0.0025 USDC per call, paid inside this MCP call via x402 (USDC on Base, Solana, Polygon or Arbitrum). x402 MCP clients such as @x402/mcp pay automatically. Free sample: call with the example input {"ticker":"AAPL","forms":["10-K","10-Q"],"limit":5,"include_financials":true}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cikNoSEC CIK number
formsNoForm types to include
limitNo
tickerNoUS ticker, e.g. AAPL
include_financialsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is covered. The description adds meaningful context beyond that: the $0.0025 USDC per-call price, the x402 payment path (USDC on Base/Solana/Polygon/Arbitrum), automatic payment for x402 clients, and a free sample call. It omits any note on rate limits or result-shape/pagination behavior, keeping it short of a 5.

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?

Front-loaded with purpose, then params, then pricing and the free-sample input, so the reader gets the essentials first. It is dense and slightly run-on in a single paragraph, but nearly every clause (form list, financial field list, payment rails, sample call) carries information an agent needs.

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?

No output schema exists, so the description carries the burden of describing return values, and it does so explicitly (profile, filings with direct document links, financials with named line items). Payment and a sample invocation are also covered. It is complete enough to call correctly; the only gaps are rate limits and result pagination/shape detail.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 60% schema description coverage, the description compensates well: it clarifies that ticker or cik is 'one required' (the schema itself marks zero required params, which is a real gap the description fixes), gives a forms filter example (['10-K','8-K']), and restates the limit range (1-50, default 10) and include_financials default. This adds genuine semantics beyond the schema, though it does not explain form-type conventions or CIK format.

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?

States a specific resource (SEC EDGAR US public company data) and enumerates exactly what comes back: company profile, recent filings by form type with document links, and optional annual financials with named fields. This is far more specific than a generic 'company data' tool. It does not, however, explicitly differentiate itself from siblings like company_brief, company_enrich, or company_lookup, which could plausibly overlap.

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?

Usage is implied by the content scope ('US public company data from SEC EDGAR') and the free-sample example input, which shows a concrete call shape. There is no explicit when-to-use/when-not-to-use guidance and no alternative tool is named, so an agent must infer that this is the filings-specific option versus the other company_* siblings.

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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