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Verify a live deploy

verify_site
Read-only

Edge-check a shiply slug or custom hostname and return a structured readiness report: status (LIVE/PENDING), SSL details (valid, issuer, daysLeft), HTTP probe, and a presigned thumbnail URL when available. Use this after publishing to confirm the site is reachable.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetYesslug (my-site) or hostname (www.example.com)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "$schema": "http://json-schema.org/draft-07/schema#",
      +  "additionalProperties": false,
      +  "properties": {
      +    "result": {}
      +  },
      +  "required": [
      +    "result"
      +  ],
      +  "type": "object"
      +}
  2. First observed

TDQS

A4.4/5.0
Behavior4/5

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

The description discloses that it is an edge-check returning a readiness report, which adds behavioral context beyond the readOnlyHint annotation. It does not mention auth requirements or rate limits, but the disclosure is adequate.

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 very concise—two sentences that front-load the main function and output, followed by usage context. Every sentence earns its place with no redundant information.

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 output schema and annotations, the description covers the essential behavioral and usage details. It could briefly mention error handling or what happens if the site isn't live, but it is still complete enough for this tool.

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 parameter 'target' is described in the schema (slug or hostname) and reinforced in the description. With 100% schema coverage, the description adds value by providing examples ('my-site' or 'www.example.com').

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's purpose: edge-check a slug or hostname and return a structured readiness report. It lists output fields (status, SSL details, HTTP probe, thumbnail URL) and distinguishes from siblings like check_custom_domain or get_site by emphasizing post-publishing verification.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly says 'Use this after publishing to confirm the site is reachable,' which provides clear when-to-use guidance. It does not explicitly list when not to use, but the context is sufficient for an AI agent.

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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