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

The description adds behavioral details beyond the readOnlyHint annotation: it returns the identical payload as paid cards, supports only two specific company-quarters, and responds with 'not_a_sample' for other tickers. It does not contradict the annotation and gives the agent a clear model of the tool's runtime behavior.

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 a bit lengthy but every sentence contributes value: the free complete card promise, the schema compatibility detail, the integration-test use case, and the invalid-ticker behavior. The most important information is front-loaded, though the sentence about exact schema/field names could be slightly tighter.

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 read-only sample tool with two parameters and no output schema, the description is complete: it explains what is returned, what is not returned (paid vs sample, unsupported tickers), how to use it, and how the response relates to paid cards. An agent has everything needed to invoke it correctly and interpret the result.

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 already documents both parameters completely (ticker: AMD or MRVL; family: quantitative/qualitative with default). The description reinforces the ticker constraint and family enum but does not add meaning beyond what the schema provides, so the baseline of 3 applies.

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 uses a specific verb ('Get') with a concrete resource ('complete quarterly card') and clearly differentiates itself from the paid route ('not a trimmed preview'). It even names the exact free tickers and states the tool is a zero-cost integration test, making its purpose unmistakable.

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?

Explicit usage guidance is provided: 'Use it as a zero-cost integration test before paying for coverage.' It also tells the agent what will happen with unsupported tickers ('Any other ticker returns not_a_sample') and clarifies that the sample payload is identical to paid cards, so it can validate parsers. This fully informs when to use the tool.

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