sassy_observability_tool_stats

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

With no annotations, the description must carry the full burden of behavioral disclosure. It implies the tool produces stats and pruning recommendations, but doesn't state whether it is read-only, what data it accesses, whether it mutates anything, or what the response format looks like. The pruning suggestion hints at decision-support behavior but remains vague.

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 extremely brief and front-loaded, with no unnecessary words. However, the terseness borders on cryptic, sacrificing informational richness for brevity. Still, every word earns its place.

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?

The description is not complete for a tool with no output schema and no annotations. It fails to explain what 'usage tracker' encompasses, what 'pruning suggestions' are based on, or what the caller should expect in return. Sibling tool names provide some context but not enough to make the description self-sufficient.

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 description does not need to explain parameter meanings. The input schema is empty, and the description doesn't attempt to add parameter-related details, which is appropriate.

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 names the resource ('usage tracker stats') and adds 'pruning suggestions' as an output, but it lacks a clear verb and largely restates the tool name. It doesn't explicitly differentiate from sibling tools like sassy_observability_metrics or sassy_tool_usage, though the pruning hint adds some distinctive meaning.

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 such as sassy_observability_metrics, sassy_observability_health, or sassy_tool_usage. No context, prerequisites, or exclusions are provided.

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