list_available_toolsets

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

No annotations are provided, so the description carries full burden. It discloses that the tool returns a list with enabled status, which is sufficient for a simple read operation. However, it does not mention potential edge cases like empty results or error handling, but given the simplicity, the transparency is high.

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 concise at three sentences, with the main purpose front-loaded. Every sentence adds value: purpose, when-to-use, and next step. No unnecessary information.

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 has no parameters, no output schema, no annotations, and low complexity, the description is fully complete. It covers purpose, usage context, and follow-up action, leaving no ambiguity.

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 has no parameters and schema coverage is 100%. With zero parameters, the description does not need to add parameter semantics. Baseline of 4 is appropriate as there is nothing to improve.

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 explicitly states the verb 'list' and the resource 'toolsets', and specifies that it returns 'the enabled status of each'. This clearly distinguishes it from sibling tools like 'get_toolset_tools' which drills down into a specific toolset.

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 clear when-to-use guidance: 'Use this when a task could be achieved with a tool and the currently available tools aren't enough.' It also suggests the next step: calling 'get_toolset_tools' to discover specific tools, giving the agent a logical workflow.

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