dmm_enable_statistics

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 only states the action 'enable' and does not explain whether statistics persist, whether previous statistics are cleared, what side effects occur, or what the tool returns.

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 filler. The verb and object are front-loaded, and the length is appropriate for a zero-parameter state-change command.

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 zero-parameter tool with an output schema, the invocation surface is minimal and the description is syntactically sufficient. However, it leaves the broader statistics workflow underspecified—such as when to enable statistics, how it interacts with dmm_measure, and how it relates to get/clear/disable statistics.

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, so the schema fully covers parameter needs. Per the rubric, a 0-parameter tool receives a baseline of 4; no additional parameter information is necessary.

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 and resource: 'Enable statistics calculation on the multimeter.' This clearly identifies the operation and distinguishes it from siblings like dmm_disable_statistics and dmm_get_statistics.

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 gives no guidance on when to use this tool versus the related statistics tools, nor does it mention prerequisites or ordering relative to measurement or statistics retrieval. Usage must be inferred entirely from the tool name and sibling set.

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