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

Annotations already indicate read-only, idempotent behavior. The description adds that off-calendar fiscal years are handled correctly and results are sorted by primary metric, which is useful beyond the 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 verbose but well-structured: starts with natural language triggers, then explains behavior per type, then sorting and return. Each sentence adds value, though it could be slightly more concise.

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?

No output schema, but the description mentions returning paired data and citation URIs. It covers data sources and sorting. Lacks specifics on time range or data recency, but overall sufficient for a comparison tool.

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%. The description enriches both parameters: for 'type', it explains the data source per entity type (SEC EDGAR vs FAERS); for 'values', it clarifies format (tickers/CIKs vs drug names) and constraints (2-5 items).

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 explicitly states it performs side-by-side comparison of 2-5 companies or drugs, pulling specific financial or adverse-event data. It distinguishes from siblings by stating it replaces 8-15 sequential single-pack lookups, contrasting with tools like entity_profile.

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?

Clear trigger phrases ('X vs Y', 'which is bigger') and a directive to prefer over sequential lookups. While it doesn't list alternatives for non-comparison cases, the context is well-defined.

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