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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does this well by explaining the multi-turn ownership model, the credit/metering cost against the user's account, the no-HTML constraint, and the response lifecycle with concrete guidance for 'collecting' and 'built' phases. It does not describe persistence or repeated-call effects, but for a chat-based build action, the stated behavior is sufficiently clear.

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 description is longer than average, but its length is justified by the multi-turn protocol, cost warning, and response-phase instructions. The primary purpose is front-loaded in the first sentence, and the alternative routing appears early. Every paragraph carries actionable information, though a slightly tighter structure could reduce 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?

Given the tool's complexity, the description is complete where it matters: prerequisite ordering, when not to use it, how to handle both response phases, and what to show the user. The output schema exists, so the description does not need to enumerate return fields. There is no critical missing context that would prevent an agent from invoking it correctly.

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 input schema provides zero property descriptions, so the prose must compensate. The description clarifies that 'message' is the verbatim user chat message and implies that 'project_guid' comes from the required create_project call. It does not explicitly name 'project_guid' as the return value from create_project, but the sequencing guidance makes the association sufficiently clear.

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 clearly states a specific verb and resource: have Orivox's own AI build the site from a chat message, with the caller supplying no HTML. It also explicitly differentiates from the sibling alternatives create_project + create_new_site, so an agent can tell which one to pick. This is more than a restatement of the tool name.

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 description gives explicit when-to-use context: for clients with no model of their own (the Hugging Face Space front end), and tells the agent to prefer create_project + create_new_site if it can author HTML itself. It also specifies the prerequisite call order, 'Call create_project first, then relay each user message here verbatim,' and explains how to handle the 'collecting' and 'built' response phases.

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