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

The annotations already establish that this is a safe, closed-world read. The description adds that it returns full Markdown, and that the content includes an optional paid Guided Fix when the published steps don't resolve the issue—useful context about what comes back, since there is no output schema. It doesn't cover volume, size, or error behavior, so it stays below a 5.

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 sentences, front-loaded with what is returned and followed by accepted input forms. Every clause carries information; nothing is repeated from the schema or annotations.

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 a single required parameter and no output schema, the description needs to explain the response, and it does: full Markdown that may include an optional paid Guided Fix. It stops short of saying what happens on a miss—unpublished or invalid slug—or whether the response is size-limited, which leaves a small gap for an agent that has to plan for failure.

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 100% and the parameter is already documented as a canonical URL, path, or slug. The description goes further by giving a concrete example path and confirming the hub page is addressable, which helps an agent construct the value. The gain over the schema is real but modest.

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 names a specific verb and resource: return the full Markdown for a published PlainError page, including the Windows Update hub, and it caps the scope at published pages. That is clear enough to separate it from retrieval-adjacent siblings. It never names search_fixes or explain_error, so the differentiation is implied rather than stated.

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 strong input-format guidance: a full URL, a path, or a slug. But it never says when to call this tool instead of search_fixes or explain_error. It also doesn't state the precondition that the page must already be published and that misses fail. The usage context is implied rather than spelled out.

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