get_workspace_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 mentions the return format ('JSON string') but lacks critical behavioral details like authentication requirements, rate limits, error handling, or whether it's a read-only operation. The description doesn't contradict annotations, but it's insufficient for a tool with no annotation coverage.

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 appropriately sized and front-loaded, starting with the core purpose. The 'Args' and 'Returns' sections are structured clearly, but the 'Returns' section could be more concise (e.g., 'JSON with workspace status'). Overall, it's efficient with minimal waste.

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 no annotations, 0% schema coverage, and an output schema present, the description is moderately complete. It covers purpose and parameters adequately but lacks behavioral context (e.g., auth, errors). The output schema reduces the need to explain return values, but more guidance on usage and transparency would improve completeness for this read operation.

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 meaningful semantics for both parameters: 'workspace_id' is explained as 'The ID of the workspace', and 'region' as 'AWS region where the workspace is located (default: us-east-1)'. This clarifies beyond the schema's basic titles, though it doesn't detail format constraints (e.g., region codes).

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 tool's purpose with a specific verb ('Get') and resource ('current status of an Amazon Managed Prometheus workspace'). It distinguishes from siblings like 'get_workspace' (likely returns different workspace details) and 'list_workspaces' (returns multiple workspaces). However, it doesn't explicitly differentiate from 'query_metrics', which might overlap in context.

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 like 'get_workspace' or 'list_workspaces'. It lacks context such as prerequisites (e.g., needing workspace ID) or exclusions (e.g., not for querying metrics). Usage is implied through parameter descriptions but not explicitly stated.

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