High Risk

start_time

Schedule meeting at specific time

Creates calendar event at given time

Part of the Syncline MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

syncline-mcp-server Execute Risk 4/5

AI agents invoke start_time to trigger processes or run actions in Syncline. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

start_time can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

com-kekwanu-syncline-mcp-server-python.yaml
tools:
  start_time:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full Syncline policy for all 27 tools.

Tool Name start_time
Category Execute
MCP Server Syncline MCP Server
Risk Level High

View all 27 tools →

What does the start_time tool do? +

Schedule meeting at specific time. It is categorised as a Execute tool in the Syncline MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on start_time? +

Add a rule in your Intercept YAML policy under the tools section for start_time. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Syncline MCP server.

What risk level is start_time? +

start_time is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit start_time? +

Yes. Add a rate_limit block to the start_time rule in your Intercept 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.

How do I block start_time completely? +

Set action: deny in the Intercept policy for start_time. 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.

What MCP server provides start_time? +

start_time is provided by the Syncline MCP server (syncline-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Syncline

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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