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

Annotations already indicate read-only, open-world, idempotent. Description adds specific data sources (SEC EDGAR/XBRL, FAERS), metrics retrieved, handling of off-calendar fiscal years, sorting behavior, and return format including citation URIs. No contradiction.

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?

Description is front-loaded with key action and preference instruction. However, it is somewhat lengthy with multiple example phrases and details; could be slightly more concise while retaining all value.

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 no output schema and two distinct entity types, the description fully explains expected return data (paired data with metrics, citations), behavior (sorted by primary metric), and efficiency gains. No gaps remain.

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% for 2 params. Description adds significant meaning: explains how 'type' determines data retrieved, gives examples for 'values' (tickers/CIKs vs drug names), and notes max/min constraints. This goes well beyond the schema.

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 performs side-by-side comparison of 2-5 companies or drugs in a single parallel call, with explicit examples of trigger phrases. It distinguishes itself from sibling tools like entity_profile and sequential lookups.

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?

Explicitly instructs 'ALWAYS PREFER over sequential single-pack lookups when comparing entities' and provides clear examples of when to use (e.g., 'compare X and Y', 'which is bigger'). No ambiguity.

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