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Breaking Company Events (SEC 8-K) ($0.10)

sec_8k_company_events
Read-only

Paid: $0.10 USDC per successful call via x402 (not charged on errors). Latest SEC 8-K filings — market-wide within minutes of filing, or for one ticker — with each item code translated to plain English, high-impact events flagged (earnings, CEO changes, M&A, bankruptcy, cyber incidents) and AI summaries of the filing text.

Input Schema

NameRequiredDescriptionDefault
itemNoOnly filings with this 8-K item code, e.g. 5.02
limitNoResults, 1-20 (default 10)
tickerNoStock ticker; omit for the market-wide latest feed
highImpactOnlyNoOnly filings with a high-impact item

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations cover the safety profile (readOnlyHint, openWorldHint), so the bar is lower, and the description still adds real operational context: per-call pricing via x402 with no charge on errors, and near-real-time availability ('within minutes of filing'). It does not mention rate limits, freshness guarantees, or error/empty-result behavior, so it is good but not exhaustive.

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?

A single dense sentence front-loaded with the pricing constraint, then resource, scope, and enrichment. Every clause carries information, though the run-on structure makes it slightly harder to scan than a split sentence would be.

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 no output schema, the description does the work of explaining what comes back (translated item codes, high-impact flags, AI summaries of filing text), which is the key missing piece for this tool. Pagination and limit semantics live in the schema, so the only gap is edge-case behavior such as empty results.

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?

Schema coverage is 100%, so the baseline is 3, but the description adds meaning the schema lacks: that omitting ticker yields the market-wide latest feed and that the high-impact flag maps to concrete event types (earnings, CEO changes, M&A, bankruptcy, cyber incidents). This clarifies what highImpactOnly and the ticker omission actually select.

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?

States a specific resource (latest SEC 8-K filings) with explicit scope variants (market-wide within minutes, or a single ticker) and names the enrichment applied (item code translation, high-impact flags, AI summaries). An agent knows exactly what this returns without opening the schema, and the sibling tools are unrelated domains so no further disambiguation is needed.

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 gives clear context for choosing between modes: market-wide versus one ticker, and when high-impact-only is appropriate ('high-impact events flagged (earnings, CEO changes, M&A, bankruptcy, cyber incidents)'). It does not state exclusions or prerequisites beyond the pricing note, so it falls short of a full when/when-not statement.

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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