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

Annotations only signal readOnlyHint/openWorldHint/idempotentHint/destructiveHint all false, so the description carries the behavioral burden — and it delivers richly: guaranteed inbox item on wake, the live managed-agent re-run semantics ('this is LIVE: it fires a real run'), the graceful degradation to inbox-only when the run endpoint is unreachable plus the 'report the actual outcome, never assume' instruction, D1 durability across Worker recycles, and the sp500+ tier gate. These are all beyond what annotations provide.

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?

All seven sentences are front-loaded and information-dense with zero filler or redundancy: core action with example, agent-facing positioning with exclusion, wake guarantee, optional managed behavior, fallback+reporting instruction, durability, and tier gate. Each sentence earns its place; the length is justified by the tool's complexity.

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 moderately complex tool with an output schema, this description covers everything an agent needs to decide, invoke, and set expectations: purpose, usage routing, exclusions, wake behavior, live-run side effects, failure fallback, persistence, and entitlement. The output schema exists so return-value documentation is unnecessary, and the continuation path (cancel_scheduled_task) is discoverable via siblings.

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%, so baseline is 3, but the description adds genuine value beyond the schema: it explains the behavioral consequences of context.managed=true (fires a real standing-agent run grounded in saved context) — detail the schema itself punts on ('see description') — and gives a concrete task example that clarifies expected phrasing. The wake_in_days semantics and the durable persistence framing add interpretive context the bare schema lacks.

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 ('Defer a follow-up task... for up to 90 days') with a concrete example, and immediately differentiates itself from siblings: it is explicitly NOT a human-authorable new-task form, and the standing-agent scheduler is named as the alternative for recurring human-configured monitoring. An agent can distinguish it from cancel_scheduled_task/list_scheduled_tasks and the standing-agent scheduler without opening schemas.

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 when-to-use guidance ('call it mid-conversation/mid-run when you decide something is worth re-checking later') and explicit when-not-to-use guidance ('NOT a human-authorable new task form', use the standing-agent scheduler for recurring/human-configured monitoring). It also clarifies the optional managed-mode path so the agent knows when to include context. Nothing 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.