get_capabilities

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, and it delivers meaningful context: features can be restricted under generic profile confidence, and the options field returns null when unsupported by the model. These are non-obvious behaviors that an agent needs to interpret results correctly.

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 front-loaded with the core purpose, followed by two short sentences that each add non-obvious behavioral context. Every sentence earns its place; the only minor issue is that the third sentence is slightly wordy but still informative.

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 0-parameter tool with no output schema, the description covers the key surprises (conditional feature restriction, null options field) and hints at return content. However, it lacks explicit usage guidance and does not describe the return structure or fields an agent should expect, which matters more given there is no output schema to fill that gap.

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?

There are zero parameters, so per the rubric the baseline is 4. The description correctly does not attempt to document parameters that do not exist.

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 first sentence states a specific verb ('Return') and resource ('features available on the connected device') with concrete examples (channel count, supported features). This makes the tool's intent clear and distinguishable from siblings like get_state or get_channel, though it does not explicitly name a sibling it is not.

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?

No explicit when-to-use, when-not-to-use, or alternative routing guidance is given. The conditional statement about generic profile confidence describes behavior, not usage context. An agent is left to infer when this tool should be called relative to siblings like scope_identify or get_state.

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