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SpikeyCoder

Website Auditor MCP

by SpikeyCoder

Monitoring status summary

get_monitoring_status
Read-only

Get a per-domain dashboard of AI-visibility scores, last and next audit times, and recent changes for all tracked websites.

Instructions

Get a glanceable summary of monitoring status across all tracked websites. Use this when someone asks "how are my tracked sites doing," "what's my current AI visibility across everything I monitor," "when were my sites last checked or when do they run next," or wants a dashboard of their monitored domains. Returns, per domain, the latest AI-visibility score, when it was last audited and next runs, and the most recent change since the prior check. 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?

The description supplements the readOnlyHint annotation by adding auth/payment requirements (Website Auditor subscription, trial details, payment method needed) and the precise return structure. It also discloses the fallback behavior for users without a subscription, which goes beyond the annotation's basic safety cue.

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?

Every sentence carries necessary information: purpose, trigger phrasings, return content, and subscription handling. It is front-loaded with the main action and uses a clear flow, being sufficiently concise for the content it conveys.

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?

With no output schema and empty params, the description fully covers what the tool returns, when to use it, and the subscription prerequisite. It also includes the fallback to get_sample_audit, making the description complete for both subscribers and non-subscribers.

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 has zero parameters, so there is nothing to explain in the schema. The description still adds the scope of the operation ('across all tracked websites'), which clarifies that no filtering is possible. This meets the baseline for a no-parameter 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 states a specific verb and resource: 'Get a glanceable summary of monitoring status across all tracked websites.' It further clarifies the output (per-domain AI visibility, last audit, next run, recent change) and differentiates from siblings like get_ai_visibility by emphasizing the 'all tracked websites' scope.

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?

Provides explicit 'Use this when someone asks...' with concrete example phrasings, and gives a clear alternative for non-subscribers: 'call get_sample_audit first.' This tells exactly when to use this tool and what to do instead, covering both prerequisites and fallback.

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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