get_peak_hours

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

No annotations are provided, so the description carries full burden. It only states the output (shows busy/quiet times) but does not disclose behavioral traits like data source, refresh rate, read-only nature, or requirements. Minimal transparency beyond basic purpose.

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?

Two sentences with no unnecessary words. Directly communicates the tool's purpose and output. Efficient and front-loaded.

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?

With no output schema, the description only vaguely describes output as showing when courts are busy/quiet. Missing details on format (e.g., list of hours, percentages, comparison). For a tool analyzing patterns, more specificity about output structure would improve completeness.

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?

All three parameters are described in the input schema (100% coverage). The description adds no additional parameter semantics beyond what the schema already provides. Baseline score 3.

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 the tool analyzes availability patterns to find peak and off-peak hours, using specific verb 'Analyze' and resource 'availability patterns'. It distinguishes from sibling tools like check_availability and get_weekly_availability.

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 usage for finding busy/quiet times but does not explicitly state when to use vs alternatives (e.g., check_availability for specific slots, get_weekly_availability for full schedule). No when-not or alternative guidance is provided.

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