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

Annotations already declare idempotentHint=true and destructiveHint=false, and the description adds genuine substance beyond that: atomic validation, failures retaining the last valid model, Studio following live, and explicitly that no model usage or saved project revision is triggered. The request_id reuse rule reinforces but does not merely repeat the idempotency annotation. Missing are permission/auth prerequisites and any size or rate constraints.

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, then operational rules, then behavioral guarantees in a tight sequence with no filler. A few clauses are telegraphic ('Studio follows live') and would read better expanded slightly, but nothing is wasted.

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 mutation tool with nested objects and a 0%-coverage schema, the description covers the hard parts: ordering/concurrency via expected_sequence, idempotency via request_id, and atomic failure semantics. An output schema exists so return values need not be described, but the undefined semantics of status, draft_id, and tasks leave a residual gap.

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% for 6 parameters, so the description must compensate, and it only partly does. It explains request_id lifecycle, expected_sequence concurrency, and that the complete document must be sent preserving identity and units, but draft_id, status, and the tasks array (a nested object type with its own constraints) receive no explanation at all.

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 ('Publish ... design') and scopes it precisely: 'one meaningful valid intermediate design (base body, passages, mounting features, parameter groups).' An agent knows what payload granularity is expected, though nothing in the text distinguishes it from siblings like finish_design_draft or create_design_preview.

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 real usage rules for batching and retries ('Use a fresh request_id for each batch; reuse unchanged after network uncertainty'), which implies when to call and how to recover. However, it never states when to prefer this over alternative design-state tools, and the phrase 'meaningful valid intermediate design' leaves the threshold for publishing implicit.

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