get_buffer_stats

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

With no annotations, the description carries the burden of behavioral disclosure. It implies a non-mutating read by saying 'Returns' and names the metric categories, but it does not mention side effects, freshness, performance cost, or any caveats. For a zero-parameter diagnostic this is adequate but not comprehensive.

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 sentence with no filler. It leads with the action and then lists the specific metric areas, making efficient use of every word.

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, no-parameter read with an output schema present, the description is mostly sufficient. However, it leaves unresolved how this tool relates to get_runtime_diagnostics or when one should be preferred, creating mild contextual ambiguity for an agent choosing among sibling tools.

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 100% schema description coverage, so there is no parameter semantics to explain. The description adds nothing parameter-specific, but none is needed; this is the appropriate baseline for a parameterless tool.

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 a read operation ('Returns') and a specific resource: aggregate capture, accounting, prefetch, and process RSS metrics. It is more specific than the tool name alone, though it does not explicitly differentiate itself from the similarly diagnostic sibling get_runtime_diagnostics.

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 on when to use this tool versus alternatives like get_runtime_diagnostics. No context is provided about typical scenarios, prerequisites, or why an agent would prefer this tool over a sibling.

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