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SpikeyCoder

Website Auditor MCP

by SpikeyCoder

List monitored sites

list_tracked_sites
Read-only

List websites currently tracked for AI visibility. Shows each domain's monitoring cadence, active status, and used/available slots for quick management.

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

Behavior5/5

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

Annotations already declare readOnlyHint, but the description adds meaningful behavioral context such as the required Website Auditor subscription, free trial terms, and payment details. It also specifies what the return includes (cadence, active state, slots), going beyond the basic read-only annotation. No contradiction 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 well-structured and front-loaded with the main purpose. It then adds concise usage examples, return details, and subscription constraints, with every sentence contributing value and no unnecessary fluff.

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?

The description covers the tool's purpose, when to use it, prerequisites (subscription), fallback behavior, and output structure, providing a complete picture. Given the lack of an output schema and the tool's simplicity, this is fully sufficient.

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?

There are zero parameters, so the baseline is 4 per the rubrics. The description doesn't need to explain parameters, but it enriches understanding by describing the output fields and slot limitations, which is sufficient for this tool.

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 websites currently monitored for AI visibility, using a specific verb and resource. It also distinguishes from sibling tools by focusing on tracked domains, cadence, active state, and slot usage.

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 explicitly provides trigger phrases ('what am I tracking,' 'which sites am I monitoring') for when to use this tool. It also gives an alternative action (call get_sample_audit) when the user lacks the required subscription, offering clear decision guidance.

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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