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equibles

by io.github.daniel3303

Going-Concern Doubt Status

GetGoingConcernStatus
Read-only

Get a company's going-concern doubt status: whether its latest examined SEC filing states substantial doubt about the company's ability to continue as a going concern, with the verbatim disclosure, the filing it came from, and the history of examined filings showing when doubt appeared, was alleviated, or cleared. Flags are extracted from each company's newest 10-K/10-Q narrative text and verified before publication; a filing without going-concern language counts as no doubt. Coverage starts when the extraction lane first examined the company — earlier filings are not analyzed, so absence from the history does not rule out prior doubt episodes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerYesStock ticker symbol (e.g., AAPL, MSFT).

TDQS

A4.4/5.0
Behavior5/5

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

The description enriches the annotations substantially by disclosing the extraction methodology (from newest 10-K/10-Q narrative, verified before publication), the semantic of 'no doubt' when language is absent, and the coverage boundary. This goes well beyond the readOnlyHint and destructiveHint annotations.

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 description is packed into two dense sentences, front-loaded with the main purpose. The first sentence is long but every clause adds value—scope, output, and history. The second sentence clarifies coverage limitations. No wasted words, though slightly complex sentence structure prevents a perfect 5.

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

Completeness5/5

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

Even without an output schema, the description fully explains what the agent will receive: verbatim disclosure, filing identifier, and history of doubt episodes. It also explains methodology and coverage limits, making it complete for a one-parameter read-only tool.

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?

The input schema covers ticker with a clear description (e.g., AAPL, MSFT), and schema coverage is 100%. The description does not add any parameter-specific semantics beyond the tool's overall purpose, so the baseline of 3 is appropriate.

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?

The description states exactly what the tool does with a specific verb and resource: it retrieves a company's going-concern doubt status from its latest examined SEC filing, including verbatim disclosure, filing source, and history of doubt episodes. This clearly distinguishes it from sibling tools like GetFdaCatalysts or GetEarningsBrief.

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?

While no alternative tools are explicitly named, the narrow purpose makes the intended use obvious. The description adds important context about coverage limitations (examined filings only, with no analysis of earlier periods), which helps an agent know when the data may be incomplete.

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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TDQS

B3.4/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, with detailed descriptions that cross-reference related alternatives. A few near-duplicate names could cause misselection, notably SearchDocument versus SearchDocuments and GetCftcPositioning versus GetLatestCftcPositioning.

Naming Consistency5/5

Tool names consistently follow a VerbNoun camelCase pattern: Get for retrievals, Search for discovery, List/Read for document access, and Add/Close/Remove/Update/Watch/Create/Delete for portfolio mutations. Despite the large count, there is no mixing of naming conventions or unpredictable verb styles.

Tool Count1/5

108 tools is an extreme surface area, far beyond the 3-15 well-scoped range and well past the 25+ threshold. Even for a broad financial data platform, this creates a heavy selection burden and substantial context overhead for agents.

Completeness4/5

The server covers an unusually wide domain: prices, fundamentals, SEC filings, options, insider activity, 13F holdings, short interest, macro data, funds, IPOs, and full portfolio lifecycle management. Notable gaps remain, such as a basic company profile/ticker-resolution tool, dividend history, and analyst estimates, so it is not a perfect 5.

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