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Analyze Website

analyze_website

Read the public homepage of the user's website and return an AI-written business description as { description }, without creating or changing any website. Use it to draft or preview the text before create_website or update_website, then pass the result as their description. Consumes one AI generation from the monthly quota unless a precomputed description already exists for that domain, and refunds it if generation fails. Returns 400 when the quota is exhausted or url is not a valid URL, and an error when the page has too little readable text.

Input Schema

NameRequiredDescriptionDefault
urlYesFull URL of the user's website (e.g. "https://example.com")
workspaceIdNoWorkspace to act in: an id from list_workspaces. Omit to use the default workspace. Use the same workspaceId for every call about the same workspace, since ids from one workspace do not exist in another

Output Schema

NameRequiredDescriptionDefault
resultNo{ description }: the AI-written business description, ready to pass to create_website or update_website.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / url / description
      Previous value: -"Full website URL to scrape (e.g. \"https://example.com\")"New value: +"Full URL of the user's website (e.g. \"https://example.com\")"
  2. Changed2 schema fields changed
    • removedInput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
    • removedOutput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
  3. Changed1 schema field changed
    • addedInput schema / properties / workspaceId
      Added value: +{
      +  "description": "Workspace to act in: an id from list_workspaces. Omit to use the default workspace. Use the same workspaceId for every call about the same workspace, since ids from one workspace do not exist in another",
      +  "type": "string"
      +}
  4. Changed2 schema fields changed
    • changedInput schema / properties / url / description
      Previous value: -"Website URL to analyze"New value: +"Full website URL to scrape (e.g. \"https://example.com\")"
    • changedOutput schema / properties / result / description
      Previous value: -"The AI-generated business description for the analyzed URL."New value: +"{ description }: the AI-written business description, ready to pass to create_website or update_website."
  5. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Goes well past the annotations by disclosing quota cost (one AI generation), the caching exception (no charge if a precomputed description exists), the refund on failure, and specific error conditions (400 on exhausted quota or invalid URL, error on too little readable text). These are exactly the operational facts an agent cannot get from readOnlyHint/openWorldHint.

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

Conciseness4/5

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

Front-loaded with purpose, then workflow, then quota and error behavior; every sentence carries information. Density is high but there is no filler, though the opening sentence stacks several clauses.

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 an output schema present, return-shape explanation is unnecessary, and the description still names the { description } field. Combined with annotations and 100% param coverage, an agent has everything needed to call it, interpret quota effects, and handle failures.

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 description coverage is 100%, so url and workspaceId are already documented in the schema. The description adds only the URL-validity failure mode and says nothing about workspaceId or cross-workspace id semantics, so 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: read the public homepage and return an AI-written business description. It also carves out scope ('without creating or changing any website'), which separates it from create_website/update_website by name.

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?

Explicit routing: use it to draft or preview text before create_website or update_website, then pass the result as their description. It states both the trigger and the follow-up action, leaving nothing to inference.

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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