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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does state that an API key (Pro+) is required and that the action reverts a rule to its default, but it does not specify whether the operation is idempotent, what happens if the rule has no override, or any error behavior. This adds some value but leaves gaps.

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 that covers the action, result, and a prerequisite. Every word earns its place, with no fluff or redundancy.

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 simple tool with one parameter and no output schema, the description covers the core purpose, required auth level, and the resulting behavior. It does not explain edge cases (e.g., no override exists) or return values, but these are minor for a low-complexity tool.

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 100% coverage: the only parameter (rule_id) is described as 'Rule ID whose override to remove'. The tool description adds no additional parameter-specific detail, so with high schema coverage, the baseline of 3 is appropriate.

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 uses a specific verb ('Remove') and a resource ('mode override for a rule'), clearly stating the outcome ('reverting it to its default enforcement mode'). This distinguishes it from siblings like set_rule_mode, which sets an override, and get_rule_modes, which retrieves them.

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 clearly implies its use case: when you need to remove an existing mode override and return to the default. The 'Requires API key (Pro+)' line adds a prerequisite, though it does not explicitly contrast with set_rule_mode or mention when not to use it. This is clear context but lacks explicit exclusions.

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