get_recommendations

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

No annotations are provided, so the description must carry the full burden. It only states the basic purpose and does not disclose any behavioral traits such as non-destructive nature, data source dependencies, or whether suggestions are limited to current showings. This is a minimal disclosure.

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, concise sentence with no filler words, clearly front-loaded with the action and resource. It is appropriately sized for the tool's simplicity.

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 simple tool with three optional parameters and a provided output schema, the description, together with the rich schema, is sufficient for an agent to invoke it correctly. However, it does not elaborate on behavior when no parameters are provided, which is a minor gap.

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 descriptions cover all three parameters (mood, genre, time_preference) with examples, so the schema provides full parameter semantics. The description itself adds no additional parameter information beyond what the schema already contains.

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 specific verb 'suggests' with a clear resource 'movies' and distinguishes the tool from siblings like get_now_showing, get_showtimes, and booking tools by focusing on preference-based recommendations.

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 clearly implies when to use the tool (when movie recommendations based on mood, genre, or time are needed). It does not explicitly name alternatives, but the context is clear and no exclusions are mentioned.

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