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

No annotations are provided, so the description must carry the behavioral load. It does disclose real, useful context beyond the schema: the $0.01/call USDC-on-Base price and the x402 payment requirement via params._meta, plus the HTTP endpoint. But it omits rate limits, failure behavior, and, with no output schema, the shape of the returned data, leaving meaningful gaps for a paid search tool.

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 data capabilities are front-loaded and reasonably tight, but the fixed x402/price/HTTP boilerplate consumes nearly half the text and is repeated identically across tools. Nothing is grossly wasted, but the payment metadata crowds out capability and differentiation detail.

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?

For a 4-param, no-output-schema, no-annotation, paid tool, the description covers what data is returned and how payment works, which is the minimum. It still lacks sibling differentiation and any hint of the response structure, so an agent has enough to call it but not enough to choose it confidently or anticipate its output.

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?

Schema coverage is 100%, so each of the four params is already documented with examples and an enum. The description's mention of tags (revenue, net income, assets) merely restates the tag param's schema description, adding no new syntax or semantics. Baseline 3 is appropriate when the schema does the heavy lifting.

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 verb+resource ('full-text search across EDGAR filings') is specific, and the enumeration of capabilities (profile, filings, XBRL financial history) tells an agent roughly what data comes back. However, those same capabilities are the whole purpose of the sibling tools edgar__company and edgar__financials, and the description never clarifies what this umbrella 'search' does differently. An agent cannot confidently distinguish it from its siblings.

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?

There is no statement of when to use this tool versus edgar__company, edgar__financials, or edgar__resolve, and no exclusions or prerequisites. The description lists capabilities but leaves the choice among overlapping siblings entirely to inference.

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