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research.sec-company-evidence

Read-onlyIdempotent

Resolve an exact SEC company name, ticker, or CIK, then bundle recent filing signals, normalized issuer-reported XBRL facts, and Form 4 insider transactions into one bounded public-company evidence report with explicit section coverage and official-source provenance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formsNoOptional exact SEC form filters for the filing-activity section
identifierYesExact SEC company name, SEC CIK, or U.S.-listed ticker symbol
max_filingsNo
financial_metricsNoNormalized issuer-reported financial metrics to include
financial_periodsNo
include_derivativesNoInclude derivative securities in the Form 4 section
max_insider_filingsNo
filing_lookback_daysNo
financial_period_typeNoboth
insider_lookback_daysNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesStructured SEC public company evidence bundle result
metaYes
serviceYes
versionYes
request_idYesUnique request identifier

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, openWorld, and non-destructive hints. The description adds meaningful context by highlighting the 'bounded' nature of the report, 'explicit section coverage', and 'official-source provenance', which go beyond the schema and annotations. No contradiction with the annotations.

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

Conciseness5/5

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

The description is a single, dense sentence that front-loads the core action ('Resolve... then bundle...') and efficiently enumerates all bundled components and output characteristics. Every phrase carries meaning, with no redundancy or fluff.

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 tool with 10 parameters, low schema coverage, and distinct sibling tools, the description gives a solid high-level overview and references explicit sections and provenance, but it leaves gaps around parameter behavior, selection criteria, and practical usage constraints. The output schema covers return values, so the main deficiency is under-specification of how inputs shape the report.

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 40% (4 of 10 parameters have descriptions). The description mentions high-level data categories (filing signals, XBRL facts, Form 4), but it does not explain how parameters like max_filings, financial_periods, lookback windows, or include_derivatives control the report. It fails to compensate for the low schema coverage.

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 uses specific verbs 'Resolve' and 'bundle' to clearly state the tool's function: turning an SEC identifier (name, ticker, CIK) into a comprehensive evidence report. It explicitly lists the bundled components (filing signals, XBRL facts, Form 4 insider transactions) and distinguishes itself from sibling tools like research.sec-filing-signals and research.sec-insider-transactions by offering a combined report.

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 provides clear context by indicating this tool is for gathering a complete, bounded public-company evidence report with multiple data sections. However, it does not explicitly state when NOT to use this tool or point to alternatives for individual data types, so it lacks explicit exclusion guidance.

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

A3.8/5.0
Disambiguation4/5

Tools are grouped into clear domain prefixes (crypto, data, developer, document, research, web) and each tool name describes a specific function; however, a few umbrella tools like web.full-audit and data.contract overlap with their more targeted counterparts, creating minor ambiguity.

Naming Consistency5/5

All tool names follow a consistent pattern: a domain prefix, a dot, and a hyphenated lowercase compound name (e.g., crypto.base-block-inspect, web.seo-audit). This makes naming predictable and easy to scan.

Tool Count1/5

At 63 tools, the surface area is very large and exceeds the 50+ threshold for extreme mismatch. While the tools are organized into six domains, the sheer number makes it difficult for an agent to select efficiently, and some tools are bundled combinations of others.

Completeness5/5

Each domain offers a thorough set of operations: crypto covers address, account, block, contract, events, gas, and transaction inspection; data covers cleaning, conversion, schema, and validation; developer covers code review, dependency/license audits, and test generation; research covers SEC, OFAC, GLEIF, and USAspending; web covers extraction, SEO, security, and performance. No obvious dead ends exist for the read-only/inspection purpose.

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