mlx

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

With no annotations, the description must reveal behavioral traits. It mentions GPU acceleration but omits side effects, installation requirements, read-only versus write behavior, or error conditions. For example, the 'generate' action likely modifies local state, but this is not disclosed.

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 short, uses bullet points for actions, and front-loads the tool's purpose. However, the opening HINT line adds minimal value and could be removed to improve conciseness.

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 6 parameters, multiple actions, and an output schema, the description is insufficient. It fails to explain when to use each action, how output looks, or dependencies. A more complete description would clarify parameter roles and output format.

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 explain all parameters. It only documents the 'action' parameter (listing its four possible values). The other five parameters (prompt, model, max_tokens, temperature, verbose) receive no explanation, leaving the agent unable to determine their purpose or constraints.

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 it is a unified MLX tool for Apple Silicon GPU acceleration and enumerates four actions (status, hardware, models, generate). This provides a specific verb-resource mapping and distinguishes it from sibling tools like ollama or git_tools.

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 does not provide guidance on when to use this tool versus alternatives among the 27 sibling tools. No when-not-to-use instructions or context for choosing specific actions are given.

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