get_user_preferences

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 states this is a read operation, which is helpful, but lacks details about what 'open behavior' entails, whether it requires authentication, potential rate limits, or the format of returned data. The description is minimal and doesn't provide rich behavioral context.

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, efficient sentence that directly states the tool's purpose without any wasted words. It's appropriately sized and front-loaded, making it easy to understand at a glance.

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 lack of annotations and output schema, the description is incomplete for a tool that presumably returns user preference data. It doesn't explain what 'open behavior' preferences include, the structure of the returned data, or any error conditions. For a read operation with no structured output documentation, this leaves significant gaps.

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 0 parameters, and the schema description coverage is 100% (though trivial since there are no parameters). The description doesn't need to explain parameters, and it appropriately focuses on the tool's purpose without redundant parameter information. A baseline of 4 is suitable for a zero-parameter tool.

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 action ('Read') and target resource ('current user preferences for open behavior'), making the purpose understandable. However, it doesn't explicitly differentiate from its sibling 'configure_user_preferences' beyond the read vs. configure distinction, which is implied but not stated.

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?

No explicit guidance is provided on when to use this tool versus alternatives. The description implies it's for reading preferences, but there's no mention of prerequisites, when not to use it, or how it relates to the sibling 'configure_user_preferences' beyond the basic read/write distinction.

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