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

Annotations already declare readOnlyHint=false, destructiveHint=false, openWorldHint=false, so the safety profile is covered. The description earns credit by disclosing a non-obvious side effect: a playbook dashboard is created alongside the scout, and its id is returned as playbookDashboardId — information not available anywhere in the structured fields.

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?

Content is front-loaded: creation semantics first, then return value, then the follow-up assignment step, with the example last. It is dense but every sentence carries information; the example could arguably be trimmed, but it adds concrete value.

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?

Though there is no output schema, the description explicitly states the return shape (created scout with id and playbookDashboardId) and flags a failure condition (name uniqueness per org). It omits permission/authorization requirements and what error surfaces on a duplicate name, which is a modest gap for a mutation 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?

With schema description coverage at only 25% (just `slug`), the description carries the burden and does: `name` is annotated as unique per org, `description` as optional, and `prompt` as the full persona/instructions text. The worked EXAMPLE object further pins down the expected shape of each field, well beyond what the schema states.

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 opens with a specific verb and resource ('Create a new scout persona in this organization') and enumerates the payload fields, so the operation is unambiguous. It also names the downstream tools (create_report / create_alert) that consume the created scout, which implicitly separates it from update_scout/list_scouts, though it never explicitly contrasts with those siblings.

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?

It gives clear post-creation guidance (assign by name or id via the create_report / create_alert `scout` param) and states the name must be unique per org, which is a real precondition. It stops short of exclusions — e.g., what to do if the persona already exists (list_scouts then update_scout) is left to inference.

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