list_cases

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

No annotations are provided, so the description carries the full burden; 'List' strongly implies a non-destructive read with no side effects, which is the key safety signal. It adds the useful fact that exactly 19 engines exist, but says nothing about what the listing contains (names only, IDs, descriptions) or ordering.

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?

A single short, front-loaded sentence with zero filler. The resource and the count are stated immediately with nothing redundant.

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 zero-param enumeration tool the main open question is the return shape, and with no output schema the description should say what each entry provides (particularly whether it returns identifiers usable with run_case). That gap keeps it at minimum-viable rather than 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?

The tool takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. No parameter caveats are needed or missing.

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?

States a specific verb (List) and a concrete resource (the 19 Astra Ops Hub use-case engines), including the exact cardinality. It implicitly contrasts with execution-oriented siblings like run_case and run_all, but never names them explicitly to lock in the distinction.

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?

Usage is only implied: an agent can infer this is the discovery step before calling run_case. There is no explicit statement of when to use it versus run_case, run_all, or monitor, and no note on whether it must be called before execution.

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