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List Generated Pages

aipush.pages.list
Read-onlyIdempotent

⚡ ACTION: List all published AI marketing pages for a website with URLs, titles, and publish dates (AIPush)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of pages to return (default 20, max 100).
offsetNoNumber of pages to skip for pagination (default 0).
website_domainYesDomain to list pages for (e.g. "example.com").

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint=true and idempotentHint=true. The description adds value by specifying that only published pages are listed and what fields are returned (URLs, titles, publish dates). No contradictions with annotations.

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 a single sentence with an emoji prefix, front-loading the action and key information. Every part is essential and there is no wasted text.

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?

Given the presence of annotations and an output schema, the description provides a solid overview. It mentions the returned fields and scope (published pages). Could be enhanced with notes on pagination behavior or error handling, but satisfactory overall.

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% for all three parameters (website_domain, limit, offset). The description does not add additional meaning beyond the schema, so baseline 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 clearly states the tool lists all published AI marketing pages for a website, returning URLs, titles, and publish dates. This distinguishes it from siblings like aipush.pages.generate (which creates pages) and aipush.pages.content (which likely gets content of a specific page).

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 for listing pages of a website but does not explicitly state when to use this tool versus alternatives (e.g., aipush.pages.content for a single page, aipush.pages.generate to create). No guidance on prerequisites or exclusions.

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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