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

The annotations say readOnlyHint=false and destructiveHint=false, which on their own would leave an agent unsure whether this trades. The description resolves that precisely: it validates and backtests, returns a link, and "Nothing runs until the user signs... Prepares only; never sends," so the write is a staged rule, not an execution. It also discloses the backtest window (last 30 days of prices) and that the tool will prompt for missing numbers, which annotations cannot convey.

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?

It is front-loaded with the core action and rule families, then moves to behavior, then to the safety constraint — a sensible order with almost no wasted wording. The closing "Prepares only; never sends" partially repeats "Nothing runs until the user signs," a mild redundancy that earns its place only as emphasis.

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 single-parameter tool with a deep nested rule schema, no output schema, and non-read-only annotations, the description covers the workflow, effect, and safety boundary well. It says the return includes a sign link, so return values need not be spelled out further. Gaps are minor: nothing about the schedule/limits sub-objects or what happens to an existing rule if one already uses the same type.

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?

Top-level schema description coverage is reported as 0%, but the nested params are themselves well documented, and the description adds the missing mapping from plain language to the rule type enum (sell on a schedule = list_call/list_put, flag cheap options = buy_*, exercise, cancel stale). The "ask rather than invent" instruction covers the many numeric fields whose value must come from the user. It does not explain the schedule or limits sub-objects at all.

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 and resource: "Turn a plain-language strategy into an Autopilot rule," then enumerates the concrete rule families (sell covered calls/puts on a schedule, buy cheap options, exercise ITM, cancel stale offers). That is far more specific than the tautological name/title and lets an agent tell this apart from the prepare_* execution tools. It stops short of naming a sibling explicitly, so it lands at 4 rather than 5.

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?

The usage context is clear: use this when the user has described a strategy in words and wants it turned into an automated rule, with the full validate → explain → 30-day dry-run → sign sequence spelled out. The instruction "Ask for any number the user has not given rather than inventing it" is a concrete operational rule that prevents a common failure mode. There is no explicit when-not guidance or named alternative for simpler one-off actions.

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