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

With no annotations, the description carries the full burden and does useful work: it discloses that the default is a no-write dry run with real masterdata GETs, and that live creation is gated on existing business approval. That is exactly the kind of permission/state context an agent needs for a mutation tool. It stops short of saying whether dry_run=false actually persists or whether a second confirming call is required.

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?

Three short sentences with the core distinction (create without enabling) front-loaded and the safety default immediately after. No filler, though the phrasing 'real masterdata GETs' is jargon that costs a beat to parse.

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, but the input side is badly under-covered: 5 parameters, 0% schema descriptions, a nested payload, and no guidance on valid 'kind' values or required payload shape. For a creation tool this leaves too much for the agent to guess.

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% across 5 parameters including a free-form nested 'payload' object, and the description explains none of them. 'kind', 'company_name' and 'operation_key' remain completely opaque, and the dry_run semantics are only obliquely implied by 'payload preview, no write'.

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+resource ('Create an AI rule') and adds a scoping qualifier: it does not enable automatic booking. An agent can distinguish it from create_accounting_booking_rule, though it never names that sibling explicitly and 'AI rule' is never expanded to the domain object it creates.

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 an implied when-to-use: real writes need existing business approval, otherwise the tool defaults to preview. No explicit alternatives are named (plan_ai_booking_rule_batch, set_ai_booking_rule_auto_booking, clone_ai_booking_rule would all be candidates), so routing between the AI-rule family is left to inference.

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