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 meaningful behavioral context: the state is 'private,' and access 'Requires a bounded administrative MCP credential or existing Coach-Token linked to staff with actual model permissions.' That access-control detail is genuinely useful, though it doesn't state pagination, failure modes, or scope limits of the 'complete' read.

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 the verb, but the middle sentence is a long comma-spliced field enumeration that mixes resource names with implementation-level details (URL/alt/width/height). It is informative but dense and could be tightened.

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?

With no output schema, the description usefully enumerates what the returned editorial state contains, and it covers the auth prerequisite, which is essential for calling a private read. It is largely complete for its complexity, missing only scope/pagination and error behavior.

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?

There is one parameter (token) at 0% schema description coverage, so the description must compensate. It partially does by characterizing the credential type ('bounded administrative MCP credential or existing Coach-Token linked to staff'), but gives no format, prefix, or acquisition details for the token value itself.

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 ('Read') and resource ('complete private editorial state') and enumerates the fields returned (RU/EN pages, hero_image, seo-summary, public_summaries overrides, courses, relations, geography, review metadata). It is clear what the tool does, but it never names or contrasts with siblings like online_article_get or online_content_preview, so the agent must infer the split.

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?

The description gives no when-to-use guidance and no comparison against close siblings such as online_article_get or online_content_preview. The only conditional information is an authentication requirement, not a routing rule between tools.

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