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Google Search Console MCP Server and API by Cotlet

Add user to property in Google Search Console

google_search_console_add_user_to_property
Read-onlyIdempotent

Add user to property in the user's own Google Search Console account from ChatGPT, Claude or any AI agent. Returns how to do it in Google Search Console step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Google Search Console Cloud Browser. Google Search Console's official API: Google Search Console has an API, but it covers only part of the web interface (checked 16 Oct 2026).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "google_search_console_add_user_to_property"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint/idempotentHint/destructiveHint=false, and the description is consistent, reinforcing that it 'opens nothing by itself'. Beyond the annotations it discloses the genuinely non-obvious behavior: the output is human-readable UI instructions (screens, buttons, fields), not an action, and execution must be delegated to the browser tools. It still omits any statement about authentication to the user's Search Console account or whether the guidance adapts to the user's property.

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?

The two operational facts (returns steps; execute via cotlet_browser_*) come early, which is good. But 'from ChatGPT, Claude or any AI agent' is pure marketing filler, and the API-coverage footnote with a date is tangential to invoking the tool correctly, adding length without invocation value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple, parameterless, read-only guide tool the essentials — what it returns and what to do next — are covered. What is missing is prerequisite information specific to adding a Search Console user (required permission level, that the user must already have a Google account, that the guide is generic across properties), which matters for an 'add user' workflow.

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?

Zero-parameter tool, so the baseline is 4; the schema has nothing to explain. The description partially justifies the absence of inputs by framing the output as generic step-by-step UI instructions, though an agent might still wonder why no email address or permission level is supplied.

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 states a specific resource (user on a Google Search Console property) and makes the crucial clarification that the tool only returns step-by-step instructions ("Returns how to do it in Google Search Console step by step (screens, buttons, fields)") rather than performing the add. It also distinguishes itself from the acting tools by pointing to cotlet_browser_* for execution and from the official API by noting partial API coverage. The opening phrase 'from ChatGPT, Claude or any AI agent' is padding that dilutes the front-loaded clarity.

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?

It gives a follow-up path (use cotlet_browser_* after reading the steps) and implies why this exists (the API doesn't cover the whole web UI), which is meaningful routing guidance. However, it never states when NOT to use it — e.g. when a direct API-backed sibling like google_search_console_request_indexing suffices — and gives no prerequisites such as requiring owner-level permission to add users to a property.

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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