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

With no annotations, the description carries the full burden and does disclose non-obvious behavior: the empty-watch state and its remediation path, plus a host permission prompt for the MCP App widget. It does not state read-only semantics or error behavior, leaving a modest gap for a read operation.

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 compact sentences, purpose front-loaded, with the prerequisite and host-prompt guidance following. Every sentence earns its place, though the narration/permission instruction is slightly tacked-on relative to the core purpose.

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-required-parameter read tool with no output schema, the description covers what the brief contains and the new-user prerequisite. It omits the read-only nature and any error/empty state beyond the empty-watch case, but is otherwise sufficient to invoke correctly.

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 single 'persona' parameter is already documented as an optional override of the saved persona. The description only echoes this with 'persona-tailored,' adding no syntax, format, or fallback detail beyond the schema.

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+resource ('dashboard brief') and enumerates its contents (fidelity, alerts, pending plans, planned-vs-executed), which implicitly positions it as an aggregate over siblings like get_alerts and get_fidelity. It does not explicitly name those siblings, so the differentiation is inferential 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?

Gives one concrete precondition and workflow: new users with empty watches must call watch_demo_set first, then re-call get_dashboard. It does not state when to prefer this over the granular sibling tools, so it stops short of full alternative routing.

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