ai_mashup

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

With no annotations, the description must carry the full behavioral burden. It does disclose meaningful side effects through the pipeline: it reaches into the Plex library, extracts stems, and loads a result into VirtualDJ for preview, which tells the agent this is a heavy multi-stage mutation rather than a lookup. However it says nothing about permissions, whether the Plex library is modified, expected runtime, or failure modes.

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?

Purpose is front-loaded in one sentence, followed by a compact numbered workflow. Every line is relevant, though the workflow could be tightened since it partly restates the obvious 'find tracks / generate mashup' steps.

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 an output schema present, return values need not be explained, and the description covers the key external dependencies (Plex library, stem extraction, VirtualDJ preview). It is complete enough for a multi-step tool, missing only explicit prerequisites or guidance on what happens if a track is not found.

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 schema already documents track_a_search, track_b_search and the mashup_style options, so the baseline is 3. The description adds no extra meaning about parameter format, search syntax, or how mashup_style changes the pipeline.

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 and resource: 'Create an AI-powered mashup of two tracks.' This clearly separates it from generative siblings like ai_produce_track or songgen_to_deck, though it does not explicitly name the closest alternative (remix_plex_track) to sharpen the distinction.

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 five-step workflow implies the intended context (tracks must exist in Plex, output goes to VirtualDJ) but never says when to pick this over remix_plex_track, bpm_bridge_generator or ai_dj_set, nor any prerequisites or exclusions. Usage is inferable but not stated.

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