format_as_table

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

With no annotations provided, the description must fully convey behavioral traits. It states that styling uses built-in Excel table styles, which is helpful, but it fails to disclose whether the conversion is destructive (overwrites data), what happens to existing formatting, or if the tool works on existing tables. Important side effects and constraints are omitted.

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 extremely concise: two sentences with no redundant information. The first sentence immediately states the core purpose, and the second adds essential constraints. Every word serves a purpose, making it easy for an AI agent to quickly grasp the tool's function.

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 has 5 parameters (including optional ones) and no output schema, the description is insufficiently complete. It lacks details on return values, error handling, behavior of optional parameters, and any side effects. An agent would need to infer or test missing aspects, reducing reliability.

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 schema has 0% description coverage, so the description needs to compensate. It explains that the first row of the range must be headers, which adds context to the 'range' parameter, and it lists the available style names for the 'style' parameter. However, it does not describe the 'table_name' or 'banded_rows' parameters, nor does it clarify the purpose of 'session_id'. The description adds moderate value but leaves gaps.

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 function: 'Convert a range into a native Excel table with a built-in style.' This uses a specific verb ('convert') and resource ('range'), and the target is uniquely identified as a native Excel table. The description also distinguishes this tool from siblings like 'apply_style_preset' by emphasizing the table conversion aspect rather than merely applying a style.

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 mentions a prerequisite ('first row must be unique, non-empty headers') but provides no guidance on when to use this tool versus alternatives such as 'apply_style_preset' or 'write_range'. It does not indicate when it is appropriate or inappropriate to use, nor does it address error conditions or limitations.

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