Low Risk

call_adbutler_api

Call any AdButler API endpoint directly. Use this only when no specific tool wraps the endpoint you need. The session's configured API key is used automatically — do NOT pass an api_key argument. Substitute path placeholders via path_params: e.g. path="/campaigns/{id}", path_params={ "id": 123 } ...

Accepts file system path (path); Accepts raw HTML/template content (body)

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

AI agents call call_adbutler_api to retrieve information from AdButler 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 call_adbutler_api 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.

adbutler.yaml
tools:
  call_adbutler_api:
    rules:
      - action: allow

See the full AdButler policy for all 622 tools.

Tool Name call_adbutler_api
Category Read
MCP Server AdButler MCP Server
Risk Level Low

View all 622 tools →

Agents calling read-class tools like call_adbutler_api 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 call_adbutler_api tool do? +

Call any AdButler API endpoint directly. Use this only when no specific tool wraps the endpoint you need. The session's configured API key is used automatically — do NOT pass an api_key argument. Substitute path placeholders via path_params: e.g. path="/campaigns/{id}", path_params={ "id": 123 } → /campaigns/123.. It is categorised as a Read tool in the AdButler MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on call_adbutler_api? +

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

What risk level is call_adbutler_api? +

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

Can I rate-limit call_adbutler_api? +

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

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

call_adbutler_api is provided by the AdButler MCP server (@adbutler/mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Let agents act without letting them run wild.

Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.

Currently onboarding teams running MCP in production.
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