get_annual_earnings_forecast

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

No annotations are provided, so the description carries the full behavioral burden. It correctly indicates a read operation and names the returned information, but it does not disclose data source, currency, period definition, or return format. For a one-symbol lookup this is acceptable but incomplete.

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 focused sentence with no filler or redundancy. It front-loads the core action and relies on the schema for parameter details.

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?

For a simple one-parameter read tool, the description plus schema is enough to invoke it correctly. However, with no output schema and no annotations, return structure and precise forecast semantics remain undocumented, making the definition adequate but not complete.

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%, and the one parameter, symbol, is already clearly described with examples. The tool description adds no additional parameter-level meaning, so the baseline schema-driven score applies.

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 uses a precise verb and resource: 'Get annual earnings forecast and analyst estimates for a stock.' The 'annual' qualifier clearly distinguishes it from sibling get_quarterly_earnings_forecast without needing to inspect schemas.

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 about when to use this tool versus get_quarterly_earnings_forecast, get_earnings_guidance, or get_10k_earnings_guidance. The word 'annual' implies a use case, but no explicit context or alternative boundaries are provided.

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