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

Beyond the readOnlyHint and openWorldHint annotations, the description discloses important behavior: values are as Finviz shows them and may be delayed, data comes from the public quote page, and pricing is charged only for successful calls via x402. This is materially useful context for an agent.

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 front-loaded with purpose and return shape, then adds necessary operational details about delay and payment. It is appropriately sized for a one-parameter financial data tool.

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?

Given the simple schema, existing output schema, and annotations, the description is complete enough for correct invocation. It covers what the tool returns, the data source, possible delay, and the payment model.

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 description coverage is 100% for the single 'symbol' parameter, and the schema already gives an example. The description adds little beyond stating that the tool works for one stock ticker, so baseline 3 is appropriate.

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 states a specific resource (Finviz quote snapshot) and content type (key statistics table as label/value pairs) for one stock ticker. It is clear what the tool returns, though it does not explicitly differentiate itself from overlapping siblings like finance_yahoo_finance or finance_stockanalysis.

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 'for one stock ticker' implies the intended single-symbol scope, but there is no explicit when-to-use guidance, no exclusions, and no named alternatives. Usage is therefore inferable but not fully guided.

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