clear_data_validation

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

No annotations are provided, so the description carries the full burden. It only states 'Clear data validation' without disclosing side effects (e.g., does it affect other formatting?), reversibility, or error conditions. More detail is needed for a mutation tool.

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 a single, concise sentence with no extraneous words. It is front-loaded with the action. However, it is almost too minimal; a bit more structure (e.g., listing parameters explicitly) would improve it.

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 simplicity of the tool (clear validation) and no output schema, the description is minimally adequate. However, it does not explain the return value or confirm success, and it could mention that only validation is cleared, not cell values. Among many siblings, some context would help.

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?

With 0% schema description coverage, the description should compensate but does not. It adds no meaning beyond the parameter names. For example, it does not specify that 'range' should be in A1 notation or that 'spreadsheet_id' is the ID from the URL.

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 action ('Clear data validation') and the resource ('an A1 range'). The verb is specific and distinguishes it from sibling tools like 'set_data_validation' (which sets) and 'clear_range' (which clears cell content).

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 provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites (e.g., that data validation must exist) or contrast with similar tools like 'clear_range' (which clears both values and validation) or 'batch_clear'.

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