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

With no annotations, the description carries the full behavioral burden. It helpfully discloses the autonomous Value Loop steps and the returned fields (providers, economics, provenance), but says nothing about blocking vs. async behavior, whether the AMC budget is actually charged, permission needs, or rate/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?

Two sentences, both earning their place: the first states the action, the second enumerates the pipeline and the returned payload. Front-loaded with the core action and no filler.

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?

For a 6-required-param mutation tool with no output schema and no annotations, the description compensates well by enumerating returned fields in place of an output schema. It still omits synchronous/asynchronous behavior and budget-charging semantics, which matter for a paid generation call.

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 bpm, key, bars, type, style and budget are already documented in the schema. The description adds no parameter-level meaning beyond what the schema provides, making the baseline 3 appropriate.

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 and resource ('Submit a music production request to AImeistrO') and then describes the internal pipeline (bidding, MIDI generation, QC) plus the return payload. This clearly distinguishes it from the retrieval siblings get_job and get_artifact, though it never names them explicitly.

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?

Usage is only implied: the stated return of 'job status' and 'artifact reference' hints that get_job and get_artifact are the follow-up tools, but no when/when-not condition or alternative is stated. An agent must infer the workflow from the sibling names.

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