model_create

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

With no annotations, the description must carry behavior and does add some: the created model is a draft, the payload is validated, and the full model is returned. It omits permissions, what happens on conflict/invalid input, and whether drafts are later published — significant gaps for a mutation tool with zero annotation coverage.

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 tight clauses with the action and the argument requirement front-loaded, then the return value. Nothing redundant.

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?

The return value is covered in lieu of an output schema, and the draft nature is stated, but with no annotations and an opaque required parameter the definition leaves out error behavior and the draft lifecycle — enough for a knowledgeable caller, thin for a first-time agent.

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 0% and the single 'model' parameter is an undescribed string capped at 1,000,000 chars. The description tells the agent it holds a complete v1 JSON model, which is genuinely useful, but gives no hint about the v1 schema shape or where to find it, so an agent still cannot construct a valid value from the definition alone.

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 ('Create') and resource ('/m:os system model'), plus a distinguishing qualifier ('draft') that separates it from model_update. The v1 format is named, though it never explicitly contrasts itself with model_validate or model_get.

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?

'pass a complete v1 JSON model' implies the prerequisite that the payload must be a fully-formed v1 model rather than a patch, but there is no explicit when-to-use guidance or named alternative (e.g. use model_validate to check before creating).

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