Low Risk

warm_intro

Meeting context: warm introduction

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

AI agents call warm_intro to retrieve information from Syncline Mcp Server Go without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though warm_intro only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

com-kekwanu-syncline-mcp-server-go.yaml
tools:
  warm_intro:
    rules:
      - action: allow

See the full Syncline Mcp Server Go policy for all 27 tools.

Tool Name warm_intro
Category Read
Risk Level Low

View all 27 tools →

Agents calling read-class tools like warm_intro have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.

What does the warm_intro tool do? +

Meeting context: warm introduction. It is categorised as a Read tool in the Syncline Mcp Server Go MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on warm_intro? +

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

What risk level is warm_intro? +

warm_intro is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit warm_intro? +

Yes. Add a rate_limit block to the warm_intro 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 warm_intro completely? +

Set action: deny in the Intercept policy for warm_intro. 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 warm_intro? +

warm_intro is provided by the Syncline Mcp Server Go MCP server (@kekwanulabs/syncline-mcp-server-go). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Syncline Mcp Server Go

Open source. One binary. Zero dependencies.

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

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