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pages.create

Create a new static website for this Vee3 account.

Returns a page id and public URL at {slug}.vee3.site. Deploy uploaded files next with pages.deploy.

Cost = 200 tokens.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoOptional display name for the page. Does not change the public URL. At most 80 characters.
slugYesPage slug used for the public hostname ({slug}.vee3.site). Must be unique across Vee3. Lowercase alphanumeric characters and hyphens only; 1-48 characters; must start and end with an alphanumeric character.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoPublic HTTPS URL for the page (https://{slug}.vee3.site until a custom domain is attached).
nameNoDisplay name for the page, if set.
slugNoPage slug.
statusNoCurrent page status.
page_idNoUnique identifier for the page.
hostnameNoPreview hostname ({slug}.vee3.site). Always present, including when a custom domain is attached.
created_atNoWhen the page was created.
custom_domainNoCustom hostname attached to the page, if any.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the disclosure burden. It discloses the return values ('page id and public URL'), the cost in tokens, the account scope, and the next expected action. It does not mention authentication or duplicate-slug error behavior, but the schema already covers slug uniqueness.

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?

The description is compact: purpose, return value, next step, and cost in three short lines with no filler. Every sentence carries useful information and is front-loaded effectively.

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

Completeness4/5

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

For a tool with two well-documented parameters and an output schema, the description is largely complete: it clarifies the account scope, the generated URL, the cost, and the follow-up deploy step. It could be slightly stronger with explicit alternative guidance, but nothing critical 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 description coverage is 100%, and both parameters are well described in the schema. The description adds minimal parameter meaning beyond echoing the {slug}.vee3.site URL pattern already present in the schema, so the baseline score of 3 is appropriate.

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?

The description opens with a specific verb and resource: 'Create a new static website for this Vee3 account.' It clearly identifies the operation as creation of a new resource and distinguishes it from lifecycle siblings like pages.edit, pages.delete, and pages.deploy by emphasizing 'new' and the subsequent deploy step.

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

Usage Guidelines4/5

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

The description gives practical workflow context by stating 'Deploy uploaded files next with pages.deploy,' which tells the agent that creation precedes deployment. It does not explicitly contrast with pages.edit or pages.get, so it misses full when-not guidance, but the usage context is clear.

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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TDQS

A4.1/5.0
Disambiguation5/5

Each tool has a distinct purpose, further clarified by group prefixes and clear descriptions. Within each group, tools perform different operations (e.g., domains.lookup vs. domains.whois vs. domains.rdap) with no ambiguity.

Naming Consistency5/5

All tools follow a consistent group.tool_name pattern using snake_case. The naming is predictable and uniformly applied across all groups.

Tool Count4/5

78 tools is high, but the server aggregates multiple distinct API domains (11 groups). Each group has a reasonable number of tools, typically under 10, with TikTok having 17. The count reflects breadth, not bloat.

Completeness5/5

Each domain's tool set covers the primary expected operations (e.g., search, details, reviews, metrics, user info). There are no obvious gaps for read-only analytical use; features like posting are likely out of scope.