generate_excel

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

The description discloses the return format (Base64-encoded XLSX) and input structure, but does not explicitly state side effects or statelessness. With no annotations, it partially covers behavioral traits, but could be more explicit about being a pure generation function.

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 summary sentence followed by bullet points. It is somewhat lengthy but necessary given the minimal schema. Front-loaded with purpose, though some details could be integrated into a more defined schema.

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 the absence of detailed schema, the description covers input structure and return type comprehensively. It does not address error handling or size limits, but overall provides sufficient context for 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 only defines a generic object with additionalProperties true, providing no structure. The description compensates fully by detailing sheets, columns, rows, formulas, properties, and password, adding essential meaning that the schema lacks.

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 'Generate an Excel workbook (.xlsx) from a structured JSON definition.' with a specific verb 'generate' and resource 'Excel workbook', distinguishing it from siblings that perform other operations like CSV conversion or template filling.

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 explicit guidance on when to use this tool versus alternatives like csv_to_excel, fill_excel_template, or inspect_excel. The description does not mention scenarios or exclusions, leaving the agent to infer usage from the purpose alone.

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