dmm_disable_statistics

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 restates the disabling action and does not mention whether existing statistics are preserved or cleared, whether it affects subsequent measurements, or whether any precondition applies. This is a common gap for a state-changing tool with no annotation support.

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 filler or repetition. For a zero-parameter tool, this is an appropriately concise and structured definition.

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 zero parameters and presence of an output schema, the description is close to sufficient. However, it omits the practical relationship to dmm_enable_statistics and whether disabling statistics retains or discards previously gathered data. This is a minor but real gap for a state-changing DMM command.

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 tool has zero parameters, and the schema is empty, so there are no parameter semantics to explain. Per the rubric, a zero-parameter tool receives a baseline of 4, and the description adds no unnecessary parameter-related noise.

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 states a specific verb ('Disable') and a clear resource ('statistics calculation on the multimeter'), directly matching the tool name and distinguishing it from sibling tools like dmm_enable_statistics. It is not a tautology and immediately conveys what the tool does.

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 about when to use this tool versus alternatives such as dmm_enable_statistics, dmm_clear_statistics, or dmm_get_statistics. The agent must infer usage entirely from the tool name and one-line description, with no explicit context or exclusions.

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