comprehensive_stock_analysis

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

No annotations are provided, so the description carries full burden. It mentions parallel execution of analyses and conditional inclusion of news/Reddit sentiment, but lacks details on behaviors such as rate limits, data freshness, or latency. The description is adequate but not exhaustive.

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 purpose and lists included analyses. It is concise with no wasted words, though a more structured format (e.g., bullet points) could improve readability.

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 tool's complexity and lack of output schema, the description adequately explains that it returns a formatted report with analysis results and insights. It covers key behaviors, though it omits potential limitations like API costs or timeouts.

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 only parameter, 'ticker', is described in the input schema as 'Stock ticker symbol to analyze'. The tool description does not add additional meaning beyond this, and schema coverage is 100%, so the description adds no extra value for the parameter.

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 as combining multiple analyses (fundamental metrics, financial health, insider trading, put/call ratio, and optional news/Reddit sentiment) to provide a complete investment evaluation. It distinguishes itself from sibling tools that focus on individual analyses.

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 explicitly advises using this tool 'when you need a complete overview of a stock across all analysis dimensions for investment decision-making.' This provides clear usage context, though it does not explicitly contrast with sibling tools by stating when not to use it.

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