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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only mentions the core action ('set or disable') but omits details such as how enabling/disabling interacts with parameters (e.g., whether disabling requires enabled=false), whether existing settings are overwritten, authentication requirements, or side effects. For a mutation tool, this is a significant transparency gap.

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, front-loaded sentence with no unnecessary words. It achieves maximum economy, though it is under-specified for the tool's complexity. It earns high marks for conciseness but not for completeness.

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 six parameters, no annotations, and no output schema, the one-sentence description is insufficient. It does not explain parameter behavior, response format, or edge cases. Users would need to guess at required behavior for optional fields and date handling, making it inadequate for reliable 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 has 0% description coverage, and the description does not elaborate on any of the six parameters. While some parameter names (e.g., 'enabled', 'message') are intuitive, the description does not clarify nuances like date formats, the meaning of 'contacts_only', or parameter relationships. With no schema descriptions, the description must compensate but fails to do so.

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: 'Set or disable Gmail out of office auto-reply.' It uses a specific verb ('set or disable') and resource ('Gmail out of office auto-reply'), and it distinguishes from the sibling tool 'get_ooo' which retrieves OOO status. This is unambiguous and well-scoped.

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?

There is no guidance on when to use this tool versus alternatives, no exclusions, and no mention of related tools like 'get_ooo' for checking current status. The description implies usage for configuring Gmail OOO but does not provide context on prerequisites or decision criteria.

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