[CodeLoop] You MUST call codeloop_verify after every code change. If .codeloop/config.json is missing, call codeloop_init_project FIRST. Drain the persisted offline usage queue and POST events to the CodeLoop backend. Use this tool when: - The MCP server was running in local/self-hosted mode and...
Bulk/mass operation — affects multiple targets
Part of the Codeloop MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents call codeloop_flush_usage to retrieve information from Codeloop 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 codeloop_flush_usage 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:
codeloop_flush_usage:
rules:
- action: allowSee the full Codeloop policy for all 29 tools.
Agents calling read-class tools like codeloop_flush_usage 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.
[CodeLoop] You MUST call codeloop_verify after every code change. If .codeloop/config.json is missing, call codeloop_init_project FIRST. Drain the persisted offline usage queue and POST events to the CodeLoop backend. Use this tool when: - The MCP server was running in local/self-hosted mode and the user has switched to cloud - A previous session had networking issues and queued events to disk - You want to confirm there is no pending billing data to reconcile Returns: counts for attempted / succeeded / requeued events and the queue location.. It is categorised as a Read tool in the Codeloop MCP Server, which means it retrieves data without modifying state.
Add a rule in your Intercept YAML policy under the tools section for codeloop_flush_usage. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Codeloop MCP server.
codeloop_flush_usage 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 codeloop_flush_usage 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 codeloop_flush_usage. 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.
codeloop_flush_usage is provided by the Codeloop MCP server (codeloop-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.