get_recommendations

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

With no annotations present, the description carries the behavioral disclosure burden. It proactively discloses the potential 403 error and why it can occur (Spotify's Extended Quota Mode restriction), which is valuable. However, it does not explicitly state that the operation is read-only or mention rate limits, though 'Get' implies a read.

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 exceptionally concise: one clear purpose sentence followed by a focused caveat. No filler or redundant explanations, and the most important information is front-loaded.

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 two-parameter tool with an output schema, the description is nearly complete: it explains the key input semantics and the important failure mode. The only gaps are the optional limit behavior and the null allowance, but these are visible in the schema, so the description is still adequate.

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 0%, so the description must compensate. It adds meaning to seed_track_id ('seeded from one track') but leaves limit unexplained and does not address the schema's allowance for null in seed_track_id or the expected track ID format. This is insufficient for a low-coverage schema.

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 ('Get') and resource ('Spotify's algorithmic recommendations') and clarifies the seeding basis ('from one track'). This distinguishes it from sibling tools like search_music or get_artist_top_tracks without needing to inspect schemas.

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 the usage context (recommendations seeded from a single track) but does not explicitly state when to choose this over alternatives such as get_related_artists or get_artist_top_tracks. There are no exclusion conditions or alternative tool references.

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