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gov_edgar-events_bankruptcy

Latest bankruptcy and receivership 8-K events as structured JSON. Latest 8-K filings classified as bankruptcy and receivership (Item 1.03) across covered companies, parsed into structured JSON with extractive summaries and filing links. Same shape as /v1/edgar/events, pre-filtered to Item 1.03 events. [HTTP: GET /v1/edgar/events/bankruptcy · price $0.02 via x402 · docs https://x402-factory.com/docs/gov.edgar-events.bankruptcy]

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

B3.4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does a decent job: it discloses the return shape (structured JSON with extractive summaries and filing links), and adds operational context the schema cannot convey (HTTP GET, $0.02 x402 payment/auth requirement, docs URL). It stops short of pagination, ordering, or rate-limit behavior.

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?

Purpose is front-loaded in the first sentence, followed by category precision and return-shape context; the bracketed HTTP/pricing/docs note is compact. Three sentences, all earning their place, though the first and second sentences partially repeat the 'structured JSON' idea.

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?

There is no output schema, and the description does describe the return shape ('same shape as /v1/edgar/events', summaries and filing links), which covers the return-value burden. However, for a 3-parameter tool with only one documented parameter, the filtering inputs (limit, ticker) remain unexplained, leaving a gap.

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?

Schema description coverage is only 33% (only 'since' is documented), and the description supplies no meaning for 'limit' or 'ticker'. With low coverage the description is expected to compensate, and it does not.

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 verb+resource ('Latest bankruptcy and receivership 8-K events as structured JSON') and pins the exact filing category (Item 1.03). It clarifies its relationship to the parent endpoint ('pre-filtered to Item 1.03 events'), distinguishing it from gov_edgar-events and the other gov_edgar-events_* subtype siblings without needing the schema.

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 phrase 'Same shape as /v1/edgar/events, pre-filtered to Item 1.03 events' implies you should use this instead of the general events endpoint when you only want bankruptcy/receivership filings, but it never states an explicit when-to-use condition or exclusion.

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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