zendesk_sample_tickets

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

No annotations are provided, so the description carries the full burden. While it mentions sampling and grouping, it does not disclose whether the tool is read-only, how sampling is done (random?), or any rate limits. This lack of transparency could mislead an agent about 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?

The description is three sentences, each adding value. It starts with the core action, then the return format, then the use case. No redundant or unnecessary words.

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 6 parameters fully documented in schema and no output schema, the description explains the tool's purpose and when to use. It could be more complete by specifying the output structure (e.g., array of objects with date and count), but it is adequate for most purposes.

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 description coverage is 100%, so the schema already explains each parameter. The description adds context like 'sample N tickets per day' but does not add significant meaning beyond what the schema provides. Baseline 3 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 clearly states the verb 'sample' and the resource 'tickets' with a specific use case: trend analysis over time. It distinguishes from siblings like zendesk_analyze_tickets and zendesk_search by emphasizing sampling for patterns without one busy day dominating.

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 explains when to use: for identifying patterns and trends without bias. However, it does not explicitly mention when not to use or list alternative tools like zendesk_search for exact queries.

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