find_duplicate_spotify_uris

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

With no annotations, the description carries behavioral disclosure. It adds meaningful traits: local computation, zero network calls, canonical-form comparison, and output containing counts and positions. It does not cover invalid-input handling or explicitly rule out side effects, though 'computed locally' strongly implies read-only 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?

A single front-loaded sentence where every clause contributes: batch scope, output content, comparison method, and execution environment. No filler or repetition.

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?

With no output schema, the description gives enough output concept (counts and positions) and the schema's response_format descriptions cover concise/detailed/json. It could add edge-case behavior for invalid/non-Spotify URIs and canonicalization specifics, but nothing essential for invoking the tool is missing.

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 100%, so the baseline is 3. The description's 'in a batch' reinforces the uris array and 'canonical URI forms' clarifies comparison semantics, but it adds little parameter-level detail beyond what the schema already states for response_format and uris.

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 names a specific verb ('List'), a precise resource ('duplicate Spotify references in a batch'), and includes distinctive method details ('comparing canonical URI forms', 'computed locally with no network calls'). This separates it from related siblings like dedupe_spotify_uris and find_duplicate_tracks_across_playlists.

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?

It gives clear context: the tool is for batch duplicate analysis over a provided list of URIs and is suitable when local/no-network behavior is desired. It does not explicitly name alternatives or state when not to use it, so it stops short of a 5.

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