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gov_edgar-events_acquisitions

Latest acquisition and disposition 8-K events as structured JSON. Latest 8-K filings classified as acquisition and disposition (Item 2.01) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filtered to Item 2.01 events. [HTTP: GET /v1/edgar/events/acquisitions · price $0.02 via x402 · docs https://x402-factory.com/docs/gov.edgar-events.acquisitions]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitYes
sinceNoOnly events filed on/after this date
tickerNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden and does meaningful work: it names the HTTP method, discloses a per-call cost ($0.02 via x402), and describes the payload contents (structured JSON with extractive summaries and filing links). It omits freshness/latency of 'latest' and any rate-limit or pagination behavior, which would matter for a paid feed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Purpose is front-loaded and the metadata bracket is compact, but the first two sentences restate the same idea ('Latest 8-K events ... as structured JSON' / 'Latest 8-K filings ... parsed into structured JSON') using nearly identical wording. Trimming one sentence would lose no information.

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

Completeness3/5

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

For a three-parameter tool with no annotations and no output schema, the description gives a fair picture of the returned data and its relationship to the parent feed, but leaves the 'ticker' filter and the meaning of 'limit' entirely undocumented. The gap is noticeable even though return-value detail is not strictly required absent an output schema.

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

Parameters2/5

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

None of the three parameters are mentioned in the description. Only 'since' has a schema description (33% coverage); 'limit' and especially 'ticker' rely on bare type/pattern constraints with no explanation of what they filter. With low coverage the description was expected to compensate and does not.

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 verb+resource and scope: 'Latest acquisition and disposition 8-K events', narrowed to 'Item 2.01' filings. It explicitly differentiates itself from the umbrella feed by noting it is 'pre-filtered to Item 2.01 events' and shares the shape of /v1/edgar/events, so an agent can separate it from the bankruptcy, leadership-change, and results siblings without opening any schema.

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 phrase 'pre-filtered to Item 2.01 events' paired with the reference to /v1/edgar/events clearly contextualizes when this variant is the right pick over the generic events endpoint. It stops short of explicit when-not guidance (e.g. 'for bankruptcy or leadership changes, use the sibling endpoints'), so it is clear context without 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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