Laugh Track

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

Goes well past the annotations (readOnlyHint/openWorldHint) by disclosing the transcription-to-timed-lines pipeline, that pace and pauses affect scoring, the exact reaction taxonomy, and the external dependency that audioPath 'needs a Vercel AI Gateway key'. That is real operational context an agent would otherwise have to discover by failing.

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?

Front-loaded with purpose and return shape, then the audioPath branch, then the rewrite guidance. Dense and mostly waste-free, though the reaction list and dual-scoring explanation make it longer than a single-breath definition.

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?

There is no output schema, so the description carries the full burden of explaining returns, and it does: per-line reaction, joke-vs-sincere classification, laugh/warmth scores, and the 0-100 landed score with its ranking. An agent has everything needed to call it and interpret the result.

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 schema carries most parameter meaning. The description still adds value by explaining what audioPath actually triggers (transcription, line splitting, pace/pause weighting) and by restating the 200-person default crowd, which clarifies intent rather than just syntax.

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 concrete verb and resource ('Test a stand-up set, speech or pitch on a virtual audience of 200 people') and immediately names what comes back. Nothing in the sibling list (physics_*, steer_check, semantic_bisect, jev_ask) overlaps, so the agent can route to it unambiguously.

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?

Gives clear context for the two input paths: pass script for text, pass audioPath to judge a recording, and it tells the agent to use weakest/strongest to drive rewrites. It never states when not to use the tool or names an alternative, 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.