cases.set_status

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 states 'Set case status' which implies a mutation operation, but doesn't disclose behavioral traits such as required permissions, whether changes are reversible, error handling (e.g., invalid case_id), or side effects. For a mutation tool with zero annotation coverage, this is a significant gap in transparency.

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 extremely concise and front-loaded in a single sentence: 'Set case status (open | resolved | closed).' Every word earns its place by specifying the action, resource, and valid options without any waste or redundancy.

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 the complexity (a mutation tool with 2 parameters), no annotations, no output schema, and 0% schema description coverage, the description is incomplete. It lacks details on behavioral aspects (e.g., permissions, reversibility), parameter semantics beyond status values, and expected outcomes. For a tool that modifies data, this leaves critical gaps for an AI agent.

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%, so the description must compensate. It adds meaning by specifying the allowed status values ('open | resolved | closed'), which clarifies the 'status' parameter beyond the schema's generic string type. However, it doesn't explain the 'case_id' parameter (e.g., format, source) or other constraints, leaving half of the parameters with minimal context.

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 action ('Set') and resource ('case status') with specific values ('open | resolved | closed'). It distinguishes from siblings like cases.create, cases.delete, cases.get, and cases.rename by focusing on status updates rather than creation, deletion, retrieval, or renaming. However, it doesn't explicitly differentiate from cases.list or cases.list_all, which are read-only operations.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing case), exclusions (e.g., not for new cases), or comparisons to siblings like cases.update (if it existed) or notes.update for related updates. The context is implied but not explicit.

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