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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds useful context beyond that: the knowledge is 'learned from their website' and brain_id 'defaults to the workspace's Brain when omitted'. No return-shape or staleness details, but solid for a read 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?

Two sentences, front-loaded with the verb and knowledge source, then the usage trigger, then the default behavior. Little waste, though the enumeration of knowledge categories is slightly padded.

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 read-only two-parameter tool with no output schema, the definition covers purpose, usage timing, data provenance and default argument behavior. Nothing critical is missing, though details on what the answer looks like or its freshness are absent.

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%, so the description must carry the load. It does explain the brain_id default ('defaults to the workspace's Brain when brain_id is omitted'), which is genuinely useful, but the required 'question' parameter gets no clarification and no format or scope guidance is given.

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 ('answer questions') and resource ('what Cadencz knows about it'), and enumerates the knowledge domain (product, audience, positioning, competitors, brand voice). An agent can distinguish it from sibling listers like list_brains, though the description never explicitly contrasts with list_brains.

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?

Gives explicit triggers: 'whenever they ask what Cadencz knows about their business, product or customers' and 'before writing posts', which implicitly routes ahead of compose_post. It stops short of naming alternatives or stating when NOT to use it.

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