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

No annotations are provided, so the description carries the full burden. It discloses that the tool is READ-ONLY, covers the same tickets as create_support_ticket (including chat and API/form sources), returns newest first, and lists the exact fields returned. This is strong behavioral disclosure, though it omits pagination and auth, which are less critical for a simple list.

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 dense but well-structured: it leads with purpose, then covers relationship, use case, ordering, filters, returned fields, and alternative. Every sentence adds value and the information is front-loaded, though it is longer than strictly necessary.

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 list tool with two optional params and no output schema, the description is remarkably complete. It covers the data source, relationship to other tools, ordering, filter options, field names, and the alternative for deeper detail, fully satisfying the agent's needs.

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 100% with descriptions for both parameters, so the baseline is 3. The description restates defaults and ranges, and adds a little context ('open' = live queue, 'newest first') but does not significantly expand on the schema's parameter meaning.

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 begins with a specific verb ('List') and resource ('support tickets'), and clarifies scope ('ALL tickets') while noting it is READ-ONLY. It distinguishes itself from get_support_ticket by explicitly stating that tool is for a single ticket's full body.

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?

It provides clear usage context: 'Built for a support engineer's queue.' It explains the filter by state and limit, and explicitly points to get_support_ticket as the alternative for a full body, giving the agent actionable guidance on when to use which tool.

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