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

Annotations already declare readOnlyHint=true, openWorldHint=false, and destructiveHint=false, so the safety profile is known. The description adds behavioral context by disclosing that the response includes item counts and whether the user may add items at each level. It does not cover auth requirements or pagination, but with annotations present this is a solid contribution.

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 definition is a single sentence that front-loads the resource and then enumerates the returned details. It is efficient with no wasted words, though the phrasing 'The levels knowledge can sit at that you can see' is slightly convoluted and could be more direct.

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 input parameters and no output schema, the description carries the burden of explaining what comes back. It lists the levels (workspace, domain, address) and the additional data (counts, add permission), which is sufficient for an agent to understand the response. Minor gaps like ordering or exact format are acceptable for a simple list tool.

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?

The tool has zero parameters, so the baseline is 4. The description does not need to explain any input parameters, and it correctly focuses on describing the returned information instead.

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 resource: the levels where knowledge can sit (workspace, domain, address) and the associated counts and permissions. It distinguishes itself from sibling listKnowledge by focusing on levels rather than items, but it uses a noun phrase rather than a verb, so the action is implicit. A clear but not quintessential purpose statement.

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?

There is no explicit when-to-use guidance, no mention of alternatives, and no prerequisites. The description only describes what is returned, leaving the agent to infer that this tool is used to discover where knowledge can be placed. This matches the calibration for a description that provides no usage context.

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