spotify_discover_by_mood

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

No annotations are provided, so the description must disclose behavioral traits. It does not explain how tracks are matched to moods, whether it uses user preferences, or any side effects. The single sentence lacks depth on behavior.

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?

Extremely concise: one sentence that conveys the core idea. No unnecessary words, information is upfront. Perfectly sized given 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?

An output schema exists but is not shown, so return values may be clear from schema. However, the description lacks context on mood interpretation (e.g., exact match vs. keywords) and does not distinguish from similar tools. Adequate but leaves 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?

Schema coverage is 0%, so description must compensate. It lists example moods for the 'mood' parameter, adding some meaning, but does not clarify if the list is exhaustive or accepted values. The 'limit' parameter is not explained at all. Partial compensation, hence 3.

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?

Description explicitly states 'Discover tracks by mood' with a list of example moods, clearly identifying the verb and resource. It distinguishes from sibling tools like spotify_discover_by_artist or spotify_discover_deep_cuts by focusing on mood-based discovery.

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 guidance on when to use or when not to use this tool. It does not mention alternatives or criteria for mood selection. The description is purely functional without context on prioritization over other discover tools.

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