Save Spreadsheet As With Save Options Json Data

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

With no annotations, the description carries the full burden. It discloses that the tool writes output and that behavior is controlled through a JSON options object, adding useful examples beyond the raw schema. However, it leaves substantial behavioral gaps: whether the source file is mutated or a new artifact is produced, where output goes, and how invalid JSON or unsupported formats are handled.

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?

Two sentences with the main action front-loaded and the differentiator in the second sentence. There is minor redundancy ('applies custom save options' vs 'precisely control the behavior of the output file through a JSON object' restate the same idea), but overall every sentence earns its place and no filler is present.

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?

For a 3-parameter, all-required write tool with no annotations, no output schema, and 0% schema coverage, the description is too thin. It fails to define the parameters meaningfully, describe return values or side effects, or route the agent between the sibling save tools. An agent could not reliably construct a correct call from the provided information alone.

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 coverage is 0%, so the description must compensate for all three parameters. It partially clarifies save_options_json_data by explaining its purpose and giving examples, but it never explains what file_uuid refers to, what target_format values look like, or the expected serialization format of the JSON string. The phrase 'JSON object' could even mislead an agent into passing an object when the schema declares a string.

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 names a specific verb and resource ('saves spreadsheet data in a specified format') and explains the differentiator: custom save options via a JSON object, with concrete examples (passwords, optimizing output, rendering properties). It does not explicitly name sibling alternatives, but the distinction from save_spreadsheet_as and save_spreadsheet_as_with_scaling_mode is strongly implied.

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 implies the use case — when precise control of output behavior via a JSON object is needed, as illustrated by the password/optimization/rendering examples. However, it never explicitly states when NOT to use this tool or points to alternatives like the simpler save_spreadsheet_as for cases without custom options.

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