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

With no annotations provided, the description fully carries the burden of behavioral disclosure. It reveals caching ('24h cache'), the limitation that text_sections are deep-links only, and the underlying API (SEC EDGAR JSON API). It doesn't mention error cases or rate limits, but for a straightforward extractor, this is adequate.

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

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

The description is three sentences that pack in purpose, output fields, usage guidance, a limitation, and cache behavior. Every sentence contributes value, and it is front-loaded with the core purpose. No wasted words.

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

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

There is no output schema, so the description must explain return values, which it does by listing the structured fields. It also covers limitations and caching. It doesn't explain edge cases like missing filings or exact interpretation of 'latest', but given the tool's simplicity, the description is reasonably complete.

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

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

The input schema descriptions are generic ('Path parameter... required') with no real semantics, but the tool description compensates by implying filing_type accepts values like 10-K/10-Q/8-K and that ticker refers to a company. This adds meaning beyond the schema, so it goes above the baseline 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Structured extracts from the latest 10-K/10-Q/8-K via the SEC EDGAR JSON API' and lists the specific fields returned. This is a specific verb+resource+scope. However, it does not explicitly differentiate itself from sibling tools like tengu_v3_fundamentals_sec_filings, so it doesn't fully achieve the 5-level distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'Call for numbers straight from the latest filing' provides clear context for when to use the tool. It also offers an alternative for text sections ('use web_search on filing_url'), which is a concrete usage pointer. However, it does not explicitly state when not to use the tool or compare to similar fundamentals tools, so it misses the 5-level explicit alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.