get_company_trading_stats

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

No annotations are present, so the description bears full responsibility. It discloses the return type (pd.DataFrame) and output format options, including that 'toon' is optimized for AI. However, it does not explain what 'trading stats' include or any behavioral traits like rate limits or authentication needs.

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 concise with three lines of purpose and args/returns. The front-loaded first line captures the essence. The Python docstring style is structured but may be slightly verbose for an agent.

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 no output schema and no annotations, the description should explain the return structure. It only states 'Returns: pd.DataFrame' without specifying columns or field names. The 'toon' format is mentioned but not fully defined.

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?

Schema description coverage is 0%, so the description must compensate. It lists both parameters (symbol, output_format) and explains the default and meaning of 'toon' for output_format. However, it does not describe what symbol represents (e.g., a stock ticker) or what the 'json' and 'dataframe' formats output.

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 'Get company trading stats from stock market', which is a specific verb-resource pair. It distinguishes from sibling tools like get_company_dividends or get_company_news by focusing on 'trading stats'.

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?

No guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, context, or when to prefer other sibling tools.

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