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Create agent from website

create_agent_from_website

Create a new draft agent by reading a business website. Returns its agent_id, build status and dashboard URL. The build runs in the background for about a minute, and the website chat widget stays off. For a business without a website, use create_agent_from_notes.

Input Schema

NameRequiredDescriptionDefault
languageNoThe language the agent answers in first.en
website_urlYesThe business website, e.g. https://example.com

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Goes well beyond the annotations by disclosing that the agent is created in draft state, the build runs asynchronously for about a minute, the chat widget remains off, and the response includes agent_id, build status and dashboard URL. openWorldHint and non-idempotency are consistent with the described website-fetching write behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, front-loaded with the action, then the return/timing, then the alternative path. Every sentence carries distinct information with no repetition of the schema.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description supplies the essential return fields and the async completion window, plus the draft/widget state that an agent needs to avoid immediately testing or chatting. Nothing material for correct invocation is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, and the schema documents both website_url and the language enum with its default, so the description need not restate them. The description adds nothing about parameter semantics beyond the generic mention of reading a website; baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Create a new draft agent by reading a business website') and names the sibling it is not for cases without a website. An agent can distinguish it from create_agent_from_notes without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly routes the agent: use this when a business website exists, use create_agent_from_notes when it does not. The condition that selects the alternative is stated, not inferred.

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

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