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

With no annotations, the description carries the full burden of behavioral disclosure. It implies a read operation ('Access') but does not disclose any behavioral traits such as API rate limits, authentication requirements, pagination behavior, or the structure of the response. This is a significant gap for a tool that has no other behavioral context.

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 compact, consisting of two sentences that immediately state the tool's function and purpose. There is no filler or redundant explanation; every clause adds value, making it highly efficient and well-structured.

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?

The tool is a simple data retrieval function with three parameters and no output schema. The description adequately states what the tool does and hints at the return content (revenue, net income, P/E ratio), but it does not explain the behavior of the 'limit' parameter, default periods, or the response format. Given the simplicity, this is adequate but not comprehensive, warranting a 3.

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%, with all three parameters (symbol, period, limit) having descriptions. The description adds marginal value by naming specific metrics (revenue, net income, P/E ratio) but does not elaborate on parameter usage or interplay beyond the schema. This aligns with the baseline of 3 for high schema 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 clearly states the tool accesses essential financial metrics for a company, enumerating examples like revenue, net income, and P/E ratio. It indicates the resource (FMP Financial Key Metrics API) and the action (access/evaluate), but it does not explicitly distinguish from sibling tools like get_financial_metrics or getKeyMetricsTTM, so it misses the differentiation aspect of a 5.

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 gives clear context for when to use this tool: to evaluate financial performance and compare to competitors. However, it does not provide explicit guidance on when not to use it or mention alternatives such as get_financial_metrics for broader financial data or getKeyMetricsTTM for trailing twelve months, so it lacks the explicit exclusions/alternatives of a 5.

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