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

No annotations are provided, so the description carries the full burden and delivers nothing: no indication of whether this is synchronous or async (siblings like check_task_status suggest task polling is common in this family), whether credits are consumed, expected audio formats or duration limits, or failure 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?

It is short, but the brevity is under-specification rather than concision: a three-word fragment that front-loads nothing actionable. No sentence here earns its place because no sentence conveys operational information.

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 two required parameters, 0% schema coverage, no annotations, and no output schema, the description must explain inputs, async behavior, and results — it explains none of them. Nothing an agent needs to invoke this tool correctly is present.

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% and the description adds no parameter meaning at all. The required 'kwargs' parameter is an opaque string with no documented format and 'source_key' is unexplained, so an agent cannot construct a valid call from either source.

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?

"AI Chord Recognition" names a capability but only restates the tool name (extract_chords) without adding a verb of action on inputs. It does not say what it operates on (an uploaded audio file referenced by source_key) or what it returns, so an agent cannot distinguish it from sibling extractors beyond guessing from the noun 'chords'.

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?

There is no guidance on when to use this versus extract_single_instrument, split_4stems, or other siblings, and no mention of prerequisites such as an uploaded file or credit consumption (cf. get_my_credits). The description is a label, not usage instruction.

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