Request explicit permission from the human owner before installing a skill. Returns a JSON object with request_id (number) and status ('pending'). Use this for skills with security grade C or F, high risk_level, or when the skill requires sensitive permissions (filesystem, network, credentials). ...
Part of the Loaditout MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents call request_permission to retrieve information from Loaditout 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 request_permission 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.
tools:
request_permission:
rules:
- action: allowSee the full Loaditout policy for all 21 tools.
Agents calling read-class tools like request_permission have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.
Request explicit permission from the human owner before installing a skill. Returns a JSON object with request_id (number) and status ('pending'). Use this for skills with security grade C or F, high risk_level, or when the skill requires sensitive permissions (filesystem, network, credentials). Check the request status later with check_permission. Do not use this for A-graded skills unless the user has requested manual approval for all installs.. It is categorised as a Read tool in the Loaditout MCP Server, which means it retrieves data without modifying state.
Add a rule in your Intercept YAML policy under the tools section for request_permission. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Loaditout MCP server.
request_permission is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the request_permission 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.
Set action: deny in the Intercept policy for request_permission. 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.
request_permission is provided by the Loaditout MCP server (loaditout-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept