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

With no annotations, the description carries the full burden, and it does an excellent job. It discloses that only passed fields are changed, that calls are idempotent/safe to repeat, what confirming requires, and what authentication/plan is needed. This is exactly the behavioral context an agent needs beyond the schema.

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?

Five sentences, each earning its place: purpose, mutation semantics, confirmation behavior, confirmation requirements, and prerequisites. The most important operational fact (partial update, safe to repeat) is front-loaded. No filler or repetition.

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 27-parameter write tool with no output schema and no annotations, the description supplies the critical workflow context: how to update incrementally, when to confirm, what run_may needs, and required auth. It is slightly incomplete only because it does not describe what a successful response returns or what happens when confirm is false, and the "every field optional" claim conflicts with the schema.

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?

The description adds useful cross-field semantics: only passed fields change, and confirming requires company_name, domain, flagship_product, offer_landing_page, target_customers, and both colors. However, it claims "Every field is optional," which conflicts with the schema's required client_account_id. It also does not compensate for the ~30% of parameters that lack schema descriptions. This is adequate but contains a misleading statement.

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?

Starts with a specific verb+resource combination: "Write or update one client's brand profile." This clearly distinguishes it from the read-only sibling get_brand_profile and from draft_brand_from_website, which creates the initial draft. The description also conveys the partial-update semantics without ambiguity.

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 clear contextual guidance: it is safe to call repeatedly to correct a website draft, and confirm: true is what run_may needs. It also states prerequisites (May plan, X-Mako-Key header). However, it never explicitly names alternatives or says "use get_brand_profile to read" or "use draft_brand_from_website to create," so it stops short of a full when/when-not comparison.

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