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

Annotations already establish that this is a read-only, non-destructive, open-world lookup. The description adds meaningful operational context beyond those annotations: the SEC filing data source, a six-credit cost, paid-plan gating for valuation metrics, and the limitation that the valuation block uses only the latest stored share price.

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 the core purpose and metric categories, and the paid valuation caveat and credit cost are useful additions. It is somewhat repetitive in opening with 'Financial Ratios: Financial Ratios returns' and includes a long metric list, but the wording remains purposeful.

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?

With an output schema present and annotations covering safety and open-world behavior, the description provides enough context for an agent to call the tool correctly. It covers data source, metric scope, ticker-based lookup, paid valuation behavior, and cost, though explicit sibling differentiation is still missing.

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%, so the input schema already documents ticker, year, quarter, and valuation in detail. The description reinforces that ticker identifies a US public company and that valuation=true adds market cap, P/E, P/S, P/B, and earnings yield, but it largely repeats schema-provided meaning and adds little about year or quarter semantics.

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 verb and resource: it returns key profitability, liquidity, leverage, efficiency, and cash-flow ratios for a US public company by ticker. It lists concrete metrics and notes they are computed from SEC filing data, which clearly distinguishes this tool from sibling statement tools such as BalanceSheet and IncomeStatement.

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 description implies the tool is for ratio analysis of US public companies identified by ticker, and it explains the paid-plan valuation option. However, it does not explicitly say when to use this rather than sibling tools like BalanceSheet, CashFlowStatement, or EarningsReport, nor does it state when not to use it.

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