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

Annotations already declare non-readonly, non-destructive, non-idempotent and closed-world. The description adds genuinely new behavior: autonomous execution without a user in the chat, results surfacing in Xenition, and approval gating before anything acts in a connected app. It does not cover what happens on repeated scheduling conflicts or how the automation is later modified, which is minor.

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?

Front-loaded with the use case, then the concrete example, then behavioral facts, then the exclusion — a sensible order. It is one dense paragraph and slightly long, but each sentence carries distinct information; nothing is padding.

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?

With an output schema present, the description need not explain return values, and it instead covers what an agent actually needs: the scheduling intent, autonomous execution, approval gating, and the run_agent alternative. Nothing material is missing for correct invocation.

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 description coverage is 100%, so the schema already documents all eight parameters including the frequency/time/days/every breakdown. The description reinforces the scheduling vocabulary ('every day, on certain weekdays, or every few hours') and gives a natural-language example, but adds no format or constraint detail beyond the schema. Baseline 3 is correct.

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 and resource ('Creates a Xenition automation') plus the defining scope ('runs on its own at those times, even when nobody is in this chat'). It also explicitly contrasts itself with run_agent, so an agent can route between the two without opening a schema.

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 the triggering condition with concrete examples ('every Monday at 9, summarise my sales sheet') and an explicit exclusion with the alternative named ('Do not use for a one-off task now (use run_agent)'). Both when-to-use and when-not-to-use are covered.

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