create_table

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

With no annotations, the description carries the full burden of behavioral disclosure and does so thoroughly: header deduplication, style and banding toggles, totals mapping, refusal on overlap or name conflict, hazardous-workbook protection, auto-backup, atomic verified save, and refusal while the file is open in Excel. This gives an agent realistic expectations for side effects and failures.

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 dense but efficient, front-loading the core purpose before detailing options and constraints. Every sentence adds useful information, and there is no filler or repetition.

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?

Despite strong behavioral coverage, the tool has 13 parameters and zero schema-level descriptions, so the missing parameter explanations for path, location, sheet, totals_row, and verify_com leave the description incomplete for fully correct invocation. The presence of an output schema helps, but it does not compensate for the parameter ambiguity.

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 description adds real meaning for several parameters: name, header, style, row_stripes, col_stripes, totals, and allow_loss. However, with 0% schema description coverage, it omits important parameters such as path, location, sheet, totals_row, and verify_com; notably, location has an empty schema type, so the agent must infer that it is the range being converted.

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 opens with a specific verb and resource: 'Turn a range into an Excel table (ListObject) named name.' This clearly distinguishes create_table from sibling tools like get_table, read_range, or write_range while also stating the key result.

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 no guidance on when to use this tool versus alternatives such as import_data, write_range, or get_table. It explains refusal conditions and behaviors, but not when an agent should select create_table over sibling tools.

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