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

Annotations already declare readOnly, idempotent, closed-world and non-destructive, so safety is covered. The description adds genuinely new context beyond them: no account, photo or payment is required, and the questions must be put to the user rather than inferred. Logging behavior is covered by the parameter schema, not the description, so it is not double-counted.

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?

Three short sentences, zero filler: what is returned, how to use it, and prerequisites. The core purpose is front-loaded and each sentence carries a distinct piece of information.

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?

An output schema exists, so return values need no explanation, and the auth/prerequisite gap is closed explicitly. The only missing piece is the relationship to score_color_quiz and the broader quiz-to-palette flow, which would help an agent sequence calls. Otherwise complete for a simple zero-required-param read.

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% and the single parameter (analytics_opt_out) is documented thoroughly in the schema, including how to apply it to later calls. The description adds nothing about the parameter, and none is needed. Baseline 3 applies.

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 ('Return Tonebook's eight categorical self-assessment questions') with the exact count, so an agent knows precisely what comes back. The framing as self-assessment questions to be asked of the user cleanly distinguishes it from the sibling score_color_quiz, which consumes answers rather than supplies questions.

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 a clear, concrete usage rule: ask the user for their own choices and do not infer them from a photo or conversation history. That is an explicit constraint on how to use the output. It stops short of naming score_color_quiz as the follow-on step in the flow, so routing to the next tool is only implied.

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