High Risk →

tool_call

"Use this tool to execute a specific method of another tool with the provided parameters based on get-tools tool response. You need to specify the tool name, method name, and any required parameters for that method."

Single-target operation

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

clarenous/veyrax-mcp Execute Risk 3/5

AI agents invoke tool_call to trigger processes or run actions in VeyraX MCP. 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.

tool_call 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.

clarenous-veyrax-mcp.yaml
tools:
  tool_call:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full VeyraX MCP policy for all 3 tools.

Tool Name tool_call
Category Execute
Risk Level High

Agents calling execute-class tools like tool_call 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 Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

tool_call is one of the high-risk operations in VeyraX MCP. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.

What does the tool_call tool do? +

"Use this tool to execute a specific method of another tool with the provided parameters based on get-tools tool response. You need to specify the tool name, method name, and any required parameters for that method." . It is categorised as a Execute tool in the VeyraX MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on tool_call? +

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

What risk level is tool_call? +

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

Can I rate-limit tool_call? +

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

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

tool_call is provided by the VeyraX MCP MCP server (clarenous/veyrax-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on VeyraX MCP

Open source. One binary. Zero dependencies.

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

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