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SEC filings

get_sec_filings
Read-onlyIdempotent

Use when an agent needs a US company's latest SEC filings. Returns the most recent EDGAR filings for a ticker, optionally one form type (10-K, 10-Q, 8-K, 4, S-1, 13F-HR), with filing date, report date, accession number, description, 8-K item codes and links to the document and the filing index. Source: SEC EDGAR public filings. Costs 0.005 USDC per call (x402, USDC on Solana, Base, Polygon, Arbitrum or Arc).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formNoone EDGAR form type, e.g. 10-K, 10-Q, 8-K, 4
limitNofilings returned, 1-50, default 10
tickerYesa US-listed ticker, e.g. AAPL, MSFT, BRK-B

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesthe get_sec_filings payload; a real captured example is free at https://x402.ochinimus.app/api/sample/get_sec_filings
toolYesthe tool that produced this payload

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 declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered. The description adds genuinely useful non-annotation context: the data source (SEC EDGAR public filings) and the per-call cost (0.005 USDC via x402 across five chains), which affects an agent's decision to invoke.

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 lead sentence is front-loaded with the trigger condition ('Use when...'), followed by returns and cost. It is efficient and every clause carries information, though the return-field enumeration is somewhat long given an output schema already exists.

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?

With an output schema present the description need not itemize return fields, so its return-list is surplus but harmless. Source, cost, form options, and safety annotations together make it complete enough for correct invocation, with the only gap being sibling routing versus get_sec_8k.

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 description coverage is 100%, so ticker, form and limit are already documented in the schema, giving a baseline of 3. The description adds marginal value by noting the form parameter takes a single type and by listing additional examples (S-1, 13F-HR) beyond the schema's examples.

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 states a specific verb and resource ('Returns the most recent EDGAR filings for a ticker') and enumerates the returned fields, so the agent knows exactly what it gets. It does not explicitly distinguish itself from the sibling get_sec_8k, which overlaps on the 8-K form type, leaving a small ambiguity.

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?

It gives a use condition ('Use when an agent needs a US company's latest SEC filings') but no exclusions or alternatives. With get_sec_8k present as a sibling covering one of the listed form types, an agent is left to infer when to prefer this broader tool.

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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