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pages.get

Get details for one static website this Vee3 account hosts.

Returns name, status, public URL, preview hostname on vee3.site, attached custom domain if any, and timestamps.

Cost = 5 tokens.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
page_idYesPage id to look up.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoPublic HTTPS URL for the page. Uses the custom domain when one 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.
updated_atNoWhen the page record was last updated.
custom_domainNoCustom hostname attached to the page, if any.
last_deployed_atNoWhen files were last deployed to the page.

Schema Changelog

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

  1. Added

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden. It does disclose the token cost ('Cost = 5 tokens') and lists the returned fields, including the optional custom domain. However, it does not explicitly confirm that the operation is side-effect-free, nor does it describe behavior on an unknown page_id or any error/auth conditions.

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 three short sentences, each earning its place: the action, the returned data, and the cost. The main verb and resource are front-loaded. There is no filler or redundant restating of the schema.

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 one-parameter read tool with an output schema, the description is nearly complete: it identifies the resource type and scope, enumerates the important return fields, and states the token cost. It is only missing explicit failure/edge-case behavior and a pointer to pages.list for finding page_id, which would make it fully self-sufficient.

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?

The schema already documents the sole parameter page_id with 100% coverage ('Page id to look up'), so the baseline is 3. The description adds no additional meaning about how to obtain or format page_id. For a single required parameter, this is acceptable but adds no value over the schema.

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+resource: 'Get details for one static website this Vee3 account hosts.' The word 'one' and 'details' clearly distinguish it from the sibling pages.list, while the read-only framing contrasts with pages.create/delete/deploy/edit. There is no ambiguity about what the tool does.

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

Usage Guidelines3/5

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

The description implies usage: call this when you need details for a single static website rather than a list or mutation. However, it never explicitly says when to prefer it over pages.list, how to obtain a page_id beforehand, or that it is not for deploying/editing. The usage context is inferable but not stated.

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.