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

Annotations already declare idempotent=true, destructive=false, readOnly=false, so the safety profile is covered. The description adds real value beyond that by disclosing the partial-update semantics ('Only the settings passed change') and the human-confirmation requirement before enabling a job.

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?

Purpose is front-loaded, then the dense parameter glossary, then two short constraint sentences. The measure is efficient given 0% schema coverage, though the opening sentence is long because it must double as the parameter documentation.

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 no output schema and no schema parameter docs, the description adequately covers purpose, all params, partial-update behavior, and the owner-confirmation prerequisite. It stops short of describing failure/authorization outcomes, but nothing essential for calling it correctly is missing.

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 0%, so the description carries the full burden and does so completely: each of the four parameters is explained, including the non-obvious 'post_weekday (0 = Sunday … 6 = Saturday)' mapping and the behavioral meaning of weekly_posts/weekly_report/review_replies.

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 gives a specific verb+resource ('Turn Autopilot's jobs on or off') and immediately enumerates the four toggleable jobs. An agent can tell this apart from siblings like my_autopilot (read) or update_calendar_settings without opening the 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?

It states the key precondition ('Confirm with the owner before turning a job on') and the partial-update rule ('Only the settings passed change'). It does not name an alternative or an explicit when-not case, but the context is clear enough to route correctly.

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