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

Annotations already declare the read-only, idempotent, non-destructive profile, so the description is not obliged to restate it. The description adds value by listing what the tool returns (financials, margins, valuation metrics, peers), but it says nothing about response volume, sizing, or other behavioral traits—acceptable at baseline given 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 a single dense line that front-loads the subject and uses the em dash to present the content; it is scannable and waste-free. The fragment style is acceptable, though a complete sentence with the verb would have been marginally clearer.

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 output schema covers return values, but the parameter surface is entirely undocumented (0% coverage) and the description supplies zero parameter semantics, so an agent cannot correctly assemble values for fields like identifier_type, year_history, or peers. For a tool with six parameters and no parameter guidance, this is a significant completeness gap.

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 0% and the description explains none of the six parameters. The agent gains no understanding of what 'peers', 'frequency', 'year_history', 'force_refresh', or 'identifier_type' accept, and the description does nothing to compensate for the undocumented parameters.

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 identifies a specific resource ('equity fundamentals') and enumerates its contents—financials, growth, margins, valuation ratios, and peers—which clearly distinguishes it from siblings like get_market_data or get_recent_results. The verb is only implied from the tool's title, and the scope is not spelled out, so it falls slightly short 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?

There is no guidance on when to invoke this tool versus alternatives such as get_market_data, get_recent_results, get_brief, or run_technical_analysis. The description leaves the selection decision entirely to the agent's inference from the dense sibling list.

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