list_workspaces

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It describes the basic operation (listing workspaces) and return format (JSON string), but doesn't mention important behavioral aspects like pagination, rate limits, authentication requirements, error handling, or whether the operation is read-only (though implied by 'list'). Some useful context is missing.

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 perfectly structured and concise with zero waste. It opens with the core purpose, then provides clear Args and Returns sections. Every sentence earns its place by delivering essential information without redundancy or unnecessary elaboration.

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 tool's low complexity (single parameter, no nested objects) and the presence of an output schema, the description is reasonably complete. It covers the basic operation, parameter semantics, and return format. However, for a tool with no annotations, it could benefit from more behavioral context about authentication, limits, or error scenarios.

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?

With 0% schema description coverage and only one parameter, the description adds significant value by explaining the region parameter's purpose ('AWS region to query') and providing the default value ('us-east-1'). This compensates well for the lack of schema descriptions, though it doesn't elaborate on region format constraints or valid values.

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 specific action ('List all Amazon Managed Prometheus workspaces') and resource ('workspaces in the specified region'), distinguishing it from siblings like get_workspace (singular retrieval) and query_metrics (different operation). It uses precise language that leaves no ambiguity about what the tool does.

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 implies usage by specifying the region parameter, but doesn't explicitly state when to use this tool versus alternatives like get_workspace or get_workspace_status. No guidance is provided about prerequisites, error conditions, or specific scenarios where this tool is preferred over others.

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