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

With no annotations, the description carries the full burden and does disclose some behavior: shared admin validation (FAQ/effectiveness, bilingual references), permission enforcement, optimistic concurrency via expected_version, and the note that review/offer touches real business records rather than fake ratings. However it omits reversibility of rollback, side effects, and response shape, leaving notable gaps for a mutation tool.

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?

The purpose is front-loaded in the first clause, but the rest is semicolon-dense and jargony ('FAQ/effectiveness', 'bilingual references'), mixing purpose, operations, constraints, and workflow into a single crowded block.

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 complex multi-operation mutation tool with no annotations, no output schema, and 0% schema coverage, the description covers operations, validation, permissions, and concurrency, but leaves the token/data/document parameters and return behavior unexplained, so it is adequate but incomplete.

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% (6 params), so the description must compensate. It adds meaning for operation (the five values), expected_version (concurrency), and request_id, but says nothing about token, data, or document, so it only partially compensates for the coverage gap.

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 states a specific verb+resource ('Save complete edited draft or publish/rollback its saved revision') and enumerates the operations (save/publish/rollback/review/offer). It is clearly the mutation counterpart to siblings like online_content_get/preview, though the multi-operation scope makes the single stated purpose slightly diffuse.

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?

'Read state first' implies a prerequisite (fetching state via online_content_get/preview) and 'use expected_version and request_id' gives workflow guidance, but no alternative tool is named and no when-not-to-use condition is given. Usage is implied rather than explicit.

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