get_comprehensive_stock_data

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states what data is returned but doesn't cover critical aspects like rate limits, authentication needs, data freshness, error handling, or whether it's a read-only operation. For a data-fetching tool with zero annotation coverage, this is a significant gap.

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 core purpose. Every word earns its place by specifying the action, resource, and included data types without redundancy or fluff.

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 of fetching comprehensive stock data, the lack of annotations, no output schema, and minimal parameter guidance, the description is incomplete. It doesn't address how data is returned, error cases, or operational constraints, making it inadequate for reliable tool 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 input schema has 1 parameter with 0% description coverage, and the description doesn't mention parameters at all. However, since there's only one parameter ('stock_symbol'), the baseline is 4, but it's reduced to 3 because the description doesn't add any semantic context (e.g., format examples like 'AAPL' or 'MSFT', or validation rules) beyond what's implied by the schema's title.

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 verb 'Get' and the resource 'comprehensive stock data', specifying it includes price, financial metrics, and recent news. This distinguishes it from the sibling tool 'check_stock_price', which likely focuses only on price. However, it doesn't explicitly state how it differs from the sibling beyond listing data types.

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 provides no guidance on when to use this tool versus the sibling 'check_stock_price'. It doesn't mention alternatives, prerequisites, or specific contexts for use, leaving the agent to infer based on the tool name and data scope alone.

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