itunes_remove_from_playlist

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

With no annotations provided, the description carries full responsibility for disclosing behavioral traits. It only states the mutation intent ('remove') without addressing side effects, error behavior (e.g., if song not found), ambiguity with duplicate track titles, or whether it removes all matching instances. This is a significant gap for a mutation tool, as the agent gets no insight into failure modes or edge cases.

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 concise and front-loaded. The first sentence states the purpose, followed by a clear Args section. There is no fluff, redundant information, or repetition of the tool name. It is minimal but efficient, earning its place with every sentence.

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's simplicity (2 parameters, no output schema, no annotations), the description covers the basic usage but omits important context for an agent: what happens on success (return value?), potential errors, and how ambiguous cases (multiple tracks with same title) are handled. It is adequate for straightforward operations but not fully complete for robust agent decision-making.

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 description supplements the bare input schema by explicitly explaining each parameter: 'song: The title of the song to remove' and 'playlist: The name of the playlist to remove it from.' Since schema_description_coverage is 0%, the description effectively compensates for the missing schema descriptions. It clarifies that both are required and specifies their meaning, though it doesn't detail match criteria (exact, case-sensitive).

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: 'Remove a track from a playlist by song title.' It specifies the verb (remove), resource (playlist), and object (track), and implicitly distinguishes from sibling tools like itunes_add_to_playlist and itunes_move_playlist_track. No ambiguity about what the tool does.

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 implies usage context but does not explicitly state when to prefer this over alternatives like itunes_move_playlist_track or itunes_delete_playlist. It lacks any mention of prerequisites (e.g., track must exist, playlist must exist) or error handling. The purpose is clear, but no exclusions or alternative tool recommendations are provided, so usage guidance is only implied.

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