remove_saved_tracks

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

No annotations are provided, so the description carries the full behavioral burden. It signals a mutation but says nothing about required auth scopes, whether removal is reversible (re-save via save_tracks), or what happens when a track ID isn't currently in Liked Songs.

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?

Two short, front-loaded sentences with no filler; the action and scope come first. The trailing 'Needs track_ids' is mildly redundant against the schema's required marker but costs almost nothing.

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?

For a one-parameter, no-output-schema mutation this is roughly adequate, but with zero annotation coverage the description should say more about side effects and failure modes. It leaves the agent to infer everything beyond the action itself.

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 100% and the single parameter is documented as accepting track URIs or IDs. 'Needs track_ids' merely restates the required field the schema already marks, adding no format or batching semantics.

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?

States a specific verb (Remove) and resource (tracks from Liked Songs), which is enough to distinguish it from remove_from_playlist. However, it never names the sibling it differs from, so the differentiation is implicit rather than explicit.

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?

'Liked Songs' scopes the operation to the user's saved library, implicitly steering the agent away from remove_from_playlist. There is no explicit when-to-use statement, no mention of the inverse save_tracks, and no guidance on prerequisites or error cases.

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