get_rssi_smoothing

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

With no annotations, the description effectively discloses read-only behavior and explains the effect of the value (higher = smoother but slower response). It also notes the type and default, adding useful behavioral context.

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?

Extremely concise: two sentences. First sentence defines purpose, second adds behavioral detail. No wasted words, front-loaded with key information.

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 read-only parameter with no inputs, the description covers the return value (LPF period), type, default, and effect. Lacks explicit units (e.g., milliseconds), but generally complete.

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 schema has no parameters (100% coverage), so baseline is 3. The description adds value by providing the default value (125) and type (UINT8) not present in the schema, plus explanatory details about the parameter's effect.

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 it retrieves the LPF period for RSSI smoothing, a specific resource. It distinguishes from the sibling set_rssi_smoothing and other RSSI-related getters by focusing on the smoothing period.

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 a getter use case but lacks explicit guidance on when to use this tool vs alternatives like get_rssi_channel or set_rssi_smoothing. No context on prerequisites or exclusions.

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