setup_instructions
Step-by-step checklist for connecting this server to Google: creating a Google Cloud project and a Desktop-app OAuth client, publishing the consent screen (mandatory — Testing-mode refresh tokens die after 7 days), downloading the client JSON and handing its PATH to set_client. Works without any ...
This record as markdown: /tools/a1-x-tech-mcp-google-calendar/setup-instructions.md
What setup_instructions does on Mcp Google Calendar
AI agents use setup_instructions to create or update resources in Mcp Google Calendar, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Google Calendar environment.
Why setup_instructions is rated Medium
An AI agent can call setup_instructions faster than any human can review: one bad instruction and it creates or modifies resources in Mcp Google Calendar by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs setup_instructions safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Google Calendar, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For setup_instructions, this is the rule to start with:
setup_instructions stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Google Calendar, apply this rule, and every setup_instructions call is checked against it from then on.
Questions about setup_instructions
Step-by-step checklist for connecting this server to Google: creating a Google Cloud project and a Desktop-app OAuth client, publishing the consent screen (mandatory — Testing-mode refresh tokens die after 7 days), downloading the client JSON and handing its PATH to set_client. Works without any credentials; the checklist shortens to 'enable the API + log in' when an OAuth client is already configured (one client serves the whole mcp-google-* line). Never asks the user to paste secrets into the chat. It is categorised as a Write tool in the Mcp Google Calendar MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mcp Google Calendar MCP server in PolicyLayer and add a rule for setup_instructions: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Google Calendar. Nothing to install.
setup_instructions is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the setup_instructions rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for setup_instructions. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
setup_instructions is provided by the Mcp Google Calendar MCP server (@a1-x-tech/mcp-google-calendar). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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