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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It identifies what the tool concerns but does not disclose read-only behavior, return format, pagination, or side effects beyond what the name 'list' already implies. This is only marginally more informative than a tautology.

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 description is very short and contains no filler or repetition. However, it is not structured as a complete sentence and omits the action verb, so it is concise at the cost of clarity. Still, every word earns its place.

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 zero-parameter list tool, calling it is mechanically simple, but the description gives no indication of what the returned brains look like, whether this is a read-only operation, or how this relates to sibling tools such as list_channels and list_workspaces. Without annotations or an output schema, this is 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?

The tool has zero parameters and the input schema is empty, so there is no parameter semantics burden for the description. The baseline of 4 applies because no additional parameter explanation is needed.

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 the resource ('Website Brains') and the scope ('in this workspace'), so an agent can guess the tool lists brains in the workspace. However, it is a noun phrase rather than a verb statement, and it does not explicitly say 'lists' or 'retrieves'. It partially distinguishes itself from siblings by naming a distinct resource, but the action is left to inference from the tool name.

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 guidance about when to use this tool versus alternatives like list_channels, list_workspaces, or query_brain. The phrase 'in this workspace' hints at a scoping condition, but there is no explicit when-to-use or when-not-to-use guidance.

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