get_ticker_data

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

No annotations provided, so the description carries full burden. It comprehensively lists all returned data points: price, volume, P/E, news, recommendations, upgrades, earnings calendar. It is clearly a read-only operation with no destructive behaviors, though rate limits and authentication are not mentioned.

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 paragraph that front-loads the main purpose and then lists multiple output categories. It is dense but not verbose, with no wasted sentences.

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 the complexity and no output schema, the description adequately covers the return values: fundamentals, news, recommendations, upgrades, earnings calendar. It is complete enough for an agent to understand what the tool provides.

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 input schema is self-documenting with descriptions for each parameter (e.g., ticker, max_news). The tool description does not add additional parameter semantics beyond what the schema provides. Schema coverage is 0% from the description, but the schema itself is clear.

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's purpose: 'Get comprehensive stock analysis including...' with a long list of specific data points. It distinguishes itself from sibling tools like get_earnings_history or get_options by offering a broad overview covering fundamentals, news, recommendations, and more.

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 states when to use: 'Use this when asked about stock performance, company valuation, fundamentals, Wall Street sentiment, analyst opinions, recent company news, or financial health.' It does not specify when not to use, but the sibling list implies alternatives.

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