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Edgrapi — SEC EDGAR Financials

Get 10-K/10-Q narrative sections

get_sections
Read-onlyIdempotent

Narrative sections from the latest 10-K/10-Q as clean text — Risk Factors (item 1A), MD&A (item 7), Business (item 1), etc. Built for LLM/RAG equity research. Omit 'item' to list the available sections first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formNoFiling type: '10-K' (default) or '10-Q'.
itemNoSection to fetch, e.g. '1A' (Risk Factors) or '7' (MD&A). Omit to list available sections.
tickerYesUS stock ticker, e.g. 'AAPL'.

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already indicate the tool is readOnly, openWorld, idempotent, and not destructive. The description adds clarity on behavioral traits: it retrieves the latest filing, returns 'clean text', and provides a listing mode when 'item' is omitted. This complements the annotations well, though some details like error handling are missing.

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 extremely concise—two sentences that front-load the core purpose and examples, followed by a specific usage hint. Every word earns its place, with no redundancy or irrelevant 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?

Given the lack of an output schema, the description could be more explicit about the return format (e.g., plain text, multiple sections at once). It implies a list when 'item' is omitted and a single section when provided, but this is not fully spelled out. The description is sufficient for basic usage but leaves some gaps for an AI agent.

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?

Schema coverage is 100%, so parameters are well-documented. The description reinforces the behavior of omitting 'item' to list sections, which is already in the schema description for 'item'. It adds minimal new semantics beyond reminding the agent of this optional feature, resulting in a baseline score.

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 clearly states the tool retrieves narrative sections from the latest 10-K/10-Q filings, listing specific items (Risk Factors, MD&A, Business). The verb 'get' matches the tool name, and the resource is distinctly different from sibling tools (company, events, filings, etc.), making its purpose unambiguous.

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 description provides the useful hint to omit 'item' to list available sections, which helps the agent decide when to call without parameters. However, it lacks explicit guidance on when not to use this tool, prerequisites (e.g., valid ticker), or comparison to alternatives among siblings. The context is adequate but minimal.

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

A4.1/5.0
Disambiguation5/5

Each tool targets a distinct SEC EDGAR resource and action: company info, filings, fundamentals, ratios, insider trades, activist stakes, fund holdings, events, and narrative sections. There is no overlap in purpose, and descriptions clarify any potential ambiguity (e.g., get_activist vs get_holdings).

Naming Consistency5/5

All tools follow a consistent 'get_' prefix followed by a singular or plural noun (e.g., get_company, get_filings, get_ratios). The pattern is uniform and predictable, making it easy to infer behavior from the name.

Tool Count5/5

Nine tools is well-scoped for a financial data server covering company profiles, regulatory filings, and derived metrics. Each tool has a clear, non-redundant role, neither feeling sparse nor bloated.

Completeness4/5

The surface covers the core EDGAR resources: company metadata, filings, financial statements, ratios, insider activity, activist filings, fund holdings, material events, and narrative sections. Minor gaps exist (e.g., direct search for specific filing types or proxy statements), but agents can accomplish most research workflows without dead ends.

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