get_ticker_data

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It describes what data is retrieved but lacks critical behavioral details such as whether this is a read-only operation, rate limits, authentication needs, data freshness, or error handling. The description is functional but misses key operational context needed for safe and effective use.

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 action ('Get comprehensive report for ticker') and lists key components without unnecessary words. Every part earns its place by clarifying scope, making it highly concise and well-structured.

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 (fetching diverse financial data) and lack of annotations or output schema, the description is moderately complete. It outlines the report components but doesn't cover behavioral aspects like data sources, update frequency, or response format. For a tool with no structured metadata, it provides a functional overview but leaves gaps in operational context.

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?

With only 1 parameter and 0% schema description coverage, the description compensates well by specifying that the parameter is a 'ticker' and implying it's for fetching a comprehensive report. It adds meaning beyond the bare schema, though it doesn't detail format constraints (e.g., ticker symbol conventions) or examples.

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 with a specific verb ('Get') and resource ('comprehensive report for ticker'), listing detailed components like overview, news, metrics, etc. It distinguishes from obvious siblings like get_ticker_news_tool (which focuses only on news) and get_price_history (which focuses only on price data), but could be more explicit about differentiation from other data-fetching tools like get_financial_statements.

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 alternatives. It doesn't mention prerequisites, context for use, or compare with siblings like get_financial_statements or get_earnings_history, leaving the agent to infer usage based on the broad scope implied by 'comprehensive report'.

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