export_to_excel

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

No annotations are provided, so the description must carry full burden. It states it saves a file and returns a file path, but fails to disclose side effects such as overwriting behavior, permissions needed, or file size limits.

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 well-structured with a title, use cases, Args section, and Returns. It is concise but informative, though slightly verbose with the use case examples.

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?

The description covers all parameters, return value, and use cases. It is reasonably complete given the tool has an output schema and simple parameters, though it lacks error handling details.

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%, but the description compensates with an Args section explaining each parameter (data_type options, code format, days default, filename optional). This adds significant meaning beyond the schema.

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 exports single stock data to Excel and provides use cases (transfer to AI or analyze in Excel). However, it does not explicitly differentiate from sibling tools like export_us_to_excel, which could cause confusion for the agent.

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 gives context for when to use (e.g., for analysis in Excel or sending to other AI) but does not specify when not to use it or suggest alternatives among siblings like export_us_to_excel or scan_to_excel.

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