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

The annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is fully covered elsewhere. The description adds essentially nothing behavioral beyond annotations — no ordering, pagination, volume, or scope caveats — leaving only the mild implication that omitting the filter returns all cases.

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?

One sentence, front-loaded with the action and immediately followed by the only meaningful constraint. Nothing is wasted or buried.

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 single-optional-parameter read tool with an output schema and rich annotations, the description covers purpose and the parameter's allowed values, which is the critical gap the schema leaves. Only result ordering/paging expectations are unaddressed, and those are minor here.

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 0% and the schema declares state as a bare string with no enum, so the description's enumeration of FILED|EVIDENCE_OPEN|RULED supplies information available nowhere else. It does not state what happens to invalid values or the default beyond "optionally".

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 opens with a specific verb+resource ("List cases") and names the one filter dimension, which distinguishes it from the singular get_case sibling. It stops short of explicitly differentiating list-from-get, so not a 5.

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?

"optionally filtered by state" implies that calling with no argument returns everything, but there is no explicit when-to-use/when-not guidance and no mention of get_case for retrieving a single case. Usage is inferable but not stated.

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