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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), and the description adds real behavior beyond that: filters walk the bench in rotation order to the first match, and the response plainly flags when a pick is not the week's rotation pick. It also states the returned fields verbatim. It does not mention caching or what happens if no pick satisfies a filter combination, which keeps it below a 5.

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?

The core purpose is front-loaded in the opening clause and every clause carries information (rotation, returned fields, filter behavior, fallback disclosure). The sentences are long and heavily parenthetical, which makes them slightly dense to parse, but no sentence is filler.

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, the description does the necessary work of enumerating the returned pick's fields (what, duration, cost, weather, what to grab). Combined with the fallback explanation, an agent has enough to call and interpret the result; the only gap is the absence of any signal about how filtering degrades if no bench item fits.

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 each parameter already carries its own description, so the baseline is 3. The description adds one genuine semantic layer by explaining that the weather and length filters operate as a rotation-ordered fallback rather than a hard requirement, but it adds nothing for 'day' or 'date' that the schema does not already cover.

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: one pick from Dadiosity's weekend bench of 20 outings/home projects for this week's Saturday or Sunday, resolved on the same weekly rotation as the website. That rotation detail separates it from 'pick_activity' and 'tonight_plan', but those siblings are never named, so the differentiation has to be inferred.

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?

Usage is implied rather than stated: an agent can tell this is for a weekend plan and that weather/length filters narrow the bench, but there is no explicit 'use this when X, use pick_activity when Y' guidance. The note that omitting filters yields the rotation pick and filtering may yield a non-rotation pick is helpful, yet no conditions for choosing between the sibling planners are given.

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