get_ticker_info

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

With no annotations provided, the description carries the behavioral transparency burden. The verb 'Retrieve' clearly signals a read-only operation with no side effects, and the output schema covers return structure. It does not disclose data freshness or validation behavior, but these are minor for a simple lookup tool.

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, efficient sentence that front-loads the main action and then lists meaningful categories without any padding. Every part contributes to understanding what the tool returns.

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 a simple one-parameter schema, an output schema, and a clearly scoped retrieval purpose, the description is largely sufficient. It could be improved by naming sibling tools or noting data limitations, but nothing critical is missing for correct invocation.

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?

The schema already fully describes the only parameter, 'symbol', with 100% coverage. The description adds no extra meaning about symbol format or expected input values, so it stays at the baseline 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 uses a clear verb and resource: 'Retrieve stock data' and specifies the content areas (company info, financials, trading metrics, governance data). This makes the tool's purpose understandable, though it doesn't explicitly contrast with siblings like search or get_top.

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 implies usage whenever broad ticker information is needed, but it offers no explicit when-to-use guidance or mentions of alternatives. An agent must infer the boundary against get_ticker_news and get_price_history from the listed data categories rather than from direct instructions.

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