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get_site_health

Read-only

What Help has seen from a site in the last seven days: which pages opened its form (by origin, with the test or live key, as a guest, a logged-in user or a phone) and when; why any page was turned away (a domain not verified, a logged-in user's token that did not check out and why, a session used from another page, a paused form); and how its domains, integrations, help page, logged-in users' secrets and tickets stand. Use it after setting a site up, and fix what it says. It holds no token, address or anything a visitor typed.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "product_id": "<product_id>"
    },
    "name": "get_site_health"
  }
}

Input Schema

NameRequiredDescriptionDefault
product_idYesThe site's id (a uuid), from list_products.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds material context beyond that: the lookback is exactly seven days, and it explicitly states no token, address or visitor-typed data is returned, which tells the agent about privacy posture and payload content. Return shape beyond that is not described.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is one long, heavily parenthesized sentence that stacks three separate result categories. The information is relevant but not front-loaded and the nested asides make it harder to scan than a short lead sentence plus bullets would.

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?

With no output schema, the description carries the burden of describing returns and does so across all three result areas, plus the seven-day scope and the data-exclusion note. Only mildly incomplete for a one-parameter read tool.

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 coverage is 100% and the single product_id parameter is documented in the schema as a uuid sourced from list_products. The description adds nothing about the parameter, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description makes clear this is a seven-day diagnostic read of a site: page-level form opens, rejected-page reasons, and status of domains, integrations, help page, secrets and tickets. It is specific about the resource and the time window, though no single verb names the operation and no sibling is called out for contrast.

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?

"Use it after setting a site up, and fix what it says" implies a post-setup verification workflow, which is useful context. But there is no explicit when-not-to-use, no mention of alternatives such as get_form, list_domains or check_form that overlap with parts of what this returns, leaving the agent to infer boundaries.

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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