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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior, so the safety profile is covered. The description adds context about the data scope (about 27 fields per period, field names, and that results are stamped with report_period, fiscal_period, and currency) which helps set expectations about output shape without contradicting annotations.

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 efficiently structured with the main purpose front-loaded, followed by a list of notable fields and usage guidance. While the field enumeration is long, it is informative and directly aids an agent in understanding what the tool returns. The backtick formatting improves readability. No redundant or filler content.

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 complexity (9 parameters) and the existence of an output schema, the description is complete: it states what the tool returns, when to use it, and where to go for related metrics. Required parameters are flagged, and the output schema handles return details. Nothing essential is missing for correct invocation.

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 all parameters are already described in the input schema. The description only reiterates that 'period' is required (already in the required array) and gives context about the return fields, but does not add parameter-specific semantics beyond the schema. This matches the baseline of 3 for high coverage.

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') and resource ('cash flow statements for one company'), enumerates the key fields, and differentiates itself from the sibling tool get_financial_financial_metrics by explicitly stating that derived figures like free cash flow yield live there. This makes its purpose unambiguous and distinguishes it from related financial statement tools.

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?

It provides clear when-to-use guidance ('Use it to see cash generation rather than accounting earnings') and names the alternative tool for derived metrics ('Free cash flow yield and similar derived figures live in get_financial_financial_metrics'). It also highlights that 'period' is required, which is essential for invocation. Exclusions and alternatives are explicit.

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