get_machine_set

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

No annotations are provided, so the description carries the behavioral disclosure burden. 'Showing all spec and status details' adds useful information about output scope and implies a read-only operation, but it does not disclose behavior around missing resources, cluster context, or error 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?

The description is a single tight sentence with no filler or redundancy. It front-loads the action and resource, and the output scope detail earns its place.

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?

This is a simple getter with an output schema, so return values need not be enumerated. However, the description omits usage context and parameter semantics, leaving the optional cluster field and when to invoke this tool vs similar tools underspecified. It is minimally viable but not complete.

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 description does not explain either parameter. The name parameter is self-evident, but the optional cluster parameter with a default value is left ambiguous, and the description adds no meaning beyond the raw parameter names.

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 uses a clear verb ('Describe') and specific resource ('a MachineSet'), and further clarifies that it returns all spec and status details. It is easily distinguishable from sibling list/scale tools, though it does not explicitly contrast with get_machine.

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?

There is no guidance on when to use this tool versus alternatives such as list_machine_sets or get_machine. The intended use is only implied by the verb and resource name, with no exclusions, prerequisites, or alternative routing.

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