randomize_presets

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

With no annotations, the description carries full burden. It discloses that generated variations are 'automatically added to the library' (side effect), explains the amount scaling, and mentions defaults. It does not describe auth needs or destructive potential, but the mutation is non-destructive.

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?

Four sentences are concise and well-structured: action, selection methods, important note, defaults. Every sentence adds value with no 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 7 parameters, no output schema, and no annotations, the description covers purpose, selection, scaling, and defaults. It could mention the 'stable' parameter, but the schema already describes it. Overall sufficient for correct invocation.

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 coverage is 100%, but description adds meaning: clarifies that 'amount' is per source preset, defaults (16 variations, 50% randomness), and that preset_names exclude '.h2p' extension. This goes beyond the schema descriptions.

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 'Create variations of existing presets by randomly modifying their parameters', specifying the action and resource. It distinguishes from siblings like 'generate_random_presets' (which likely creates from scratch) and 'merge_presets'.

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 explains how to select source presets (by name, pattern, author, category) and includes an important note about the amount parameter scaling per preset. However, it does not explicitly state when not to use this tool or compare to alternatives like 'merge_presets'.

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