summarize_category

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

With no annotations, the description carries full burden. It states the tool retrieves a 'representative sample', implying non-exhaustive results, and instructs not to invent details. However, it does not disclose sampling method, determinism, or side effects.

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 wasted words. First sentence states purpose, second gives usage guidance and constraints. Front-loaded and efficient.

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?

Given an output schema exists, description need not detail return values. However, it omits how category and intent combine (AND/OR) and how the sample is selected (random, recent, etc.). Adequate for simple use but could be more 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?

Schema coverage is 0%, so description should compensate. It adds meaning for category and intent (used for filtering) but provides no explanation for sample_size (default 15) beyond the name, leaving its purpose and constraints unclear.

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 retrieves a representative sample of customer messages and agent responses for a category and/or intent to allow summarization. It distinguishes from siblings by focusing on sampling for summarization rather than counting, filtering, or listing.

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?

Provides explicit usage examples ('summarize the FEEDBACK category' or 'how do reps respond to cancellations') and instructs to base summary only on returned text, avoiding invention. Lacks explicit when-not-to-use or alternative tools, but context is clear.

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