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Website Auditor MCP

List monitored sites

list_tracked_sites
Read-only

List websites currently monitored for AI visibility, returning each tracked domain with its cadence, active state, and available monitoring slots.

Instructions

List the websites currently being monitored for AI visibility on a schedule. Use this when someone asks "what am I tracking," "which sites am I monitoring," "how many monitoring slots am I using," or wants to see their tracked domains. Returns each tracked domain with its cadence and active state, plus slots used and remaining (out of 5). Requires a Website Auditor subscription ($10/month; eligible new customers get a 7-day free trial — payment method required, no charge until the trial ends) — if the user doesn't have one, call get_sample_audit first to show them the exact output format, free and with no API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
usedYes
limitYes
summaryYes
trackedYes
remainingYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.0.24
    • addedOutput schema / properties / tracked / items / properties / last_audited_at / description
      Added value: +"The date of the last scheduled run, stamped when the scheduler claims it and before the audit runs. It does not say how that run ended: it may still be going, or may have failed, been skipped or measured nothing of the business."
  2. Changed1 schema field changedv1.0.23
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "$schema": "http://json-schema.org/draft-07/schema#",
      +  "additionalProperties": false,
      +  "properties": {
      +    "limit": {
      +      "type": "number"
      +    },
      +    "remaining": {
      +      "type": "number"
      +    },
      +    "summary": {
      +      "type": "string"
      +    },
      +    "tracked": {
      +      "items": {
      +        "additionalProperties": true,
      +        "properties": {
      +          "active": {
      +            "type": "boolean"
      +          },
      +          "cadence": {
      +            "type": "string"
      +          },
      +          "created_at": {
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          },
      +          "digest_enabled": {
      +            "type": "boolean"
      +          },
      +          "domain": {
      +            "type": "string"
      +          },
      +          "last_audited_at": {
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          },
      +          "next_run_at": {
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          }
      +        },
      +        "required": [
      +          "domain"
      +        ],
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "used": {
      +      "type": "number"
      +    }
      +  },
      +  "required": [
      +    "limit",
      +    "used",
      +    "remaining",
      +    "tracked",
      +    "summary"
      +  ],
      +  "type": "object"
      +}
  3. First observedv1.0.6

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already declare the safe read-only profile, but the description adds substantial context beyond them: a hard quota (slots out of 5), an auth/subscription requirement, trial and payment details, and a fallback tool for unsubscribed users. This is exactly the auth-needs and limit information annotations cannot convey.

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?

The text is front-loaded with purpose and triggers, then return shape, then the subscription caveat. It is a little long, and the parenthetical on trial billing mechanics ($10/month, payment method required, no charge until trial ends) is verbose, though plausibly useful for the agent to relay.

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?

For a zero-parameter read tool with an output schema and read-only annotations, the description covers purpose, triggers, return shape, quota, subscription gating, and an alternative path. Nothing an agent needs to select or call it correctly is missing.

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

Parameters4/5

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

The tool takes zero parameters, so the baseline is 4. The description also pre-describes the returned fields (domain, cadence, active state, slots used/remaining), which is helpful even though no parameter meaning is needed.

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 states a specific verb (List) and resource (websites being monitored for AI visibility on a schedule), and clearly distinguishes this read tool from the write siblings track_site and untrack_site. An agent can identify it without opening the 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?

It gives explicit triggering user phrasings ("what am I tracking," "which sites am I monitoring," "how many monitoring slots am I using") and an alternative path: if the user lacks a subscription, call get_sample_audit first. This is explicit when-to-use plus a named alternative.

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