live_stream_producer

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

With no annotations, the description carries the full behavioral burden. It usefully discloses that the tool drives external software (OBS, VirtualDJ), runs a continuous generate/mix loop, and is bounded by a duration — real behavioral context the schema does not convey. However, it says nothing about whether this is a long-running blocking call, what permissions or running services are required, or what happens on failure mid-stream.

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 one-line purpose is front-loaded and the numbered workflow is scannable. The marketing line 'The ultimate AI producer workflow' is filler, and the step list is arguably more verbose than needed, but overall structure is efficient.

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?

An output schema exists, so return values need no explanation, and parameters are fully documented in the schema. Still, for a complex multi-service orchestration tool with no annotations, it omits operational prerequisites (OBS/VirtualDJ installed and running, platform auth) and any routing guidance against its many siblings.

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%, so all four parameters (theme, platform, duration_hours, generate_interval_minutes) are already documented in the schema. The description only indirectly echoes the duration concept ('Run for specified duration') and adds no format, range, or interaction details beyond it, so the baseline of 3 applies.

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 states a specific verb and resource: 'Run a live streaming DJ set with AI-generated music,' then enumerates the internal pipeline from OBS capture to track hot-swapping. The purpose is unmistakable. It stops short of 5 because it never distinguishes itself from close siblings like ai_stream_production or ai_dj_set, which an agent could easily confuse it with.

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 describes what happens during execution but gives no guidance on when to choose this over ai_stream_production, ai_dj_set, or album_factory, nor any exclusions or prerequisites. The numbered steps read as internal mechanics, not selection criteria.

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