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

No annotations are provided, so the description carries the full behavioral burden, and it does so thoroughly. It discloses that repeated calls replace the widget rather than duplicate it, that changed is byte-honest, that some outcomes require verification via get_preview_url, and that live sites need publish_website to reflect the change.

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 content is long enough to be trustworthy but tightly structured: summary, trigger conditions, param meanings, action semantics, output states, and publication caveat are each in clearly separated, purposeful sections. Every sentence adds decision-relevant information rather than repeating schema entries or fluff.

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 4-parameter mutation tool with no annotations and minimal parameter schema coverage, this description is complete. It covers when to use it, what each parameter means, idempotent replacement behavior, removal, every outcome state, how to verify contradictory results, and the publish/deprecation implication. Nothing an agent needs to call it correctly is left to guesswork.

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 schema has zero property descriptions, but the description adds concrete semantics for icon, position, and action, including defaults and replacement behavior. It even explains the meaning of byte-honest output states beyond the input schema. The only parameter left implicit is project_guid, but its purpose is evident from its name and the required context of the call.

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 specifies a concrete verb and resource: add or remove Orivox's accessibility widget, and even describes the widget as a floating button with reader aids on every page. It also names apply_dom_ops as an alternative to avoid, which clearly separates this tool from a sibling. An agent can tell what this tool does 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 gives explicit triggers: use this when the user asks for an accessibility button, menu, toolbar, screen-reader support, or accessibility compliance. It also gives an explicit exclusion: do not build the widget by hand with apply_dom_ops, and it explains when to call again for replacement or removal.

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