List all executions for a given suite **Parameters:** - suiteId (string) *required*: ID of the reflect suite to list executions for
Single-target operation
Part of the SmartBear MCP MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents call reflect_list_suite_executions to retrieve information from SmartBear MCP 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 reflect_list_suite_executions 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:
reflect_list_suite_executions:
rules:
- action: allow See the full SmartBear MCP policy for all 147 tools.
List all executions for a given suite **Parameters:** - suiteId (string) *required*: ID of the reflect suite to list executions for. It is categorised as a Read tool in the SmartBear MCP MCP Server, which means it retrieves data without modifying state.
Add a rule in your Intercept YAML policy under the tools section for reflect_list_suite_executions. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the SmartBear MCP MCP server.
reflect_list_suite_executions 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 reflect_list_suite_executions 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 reflect_list_suite_executions. 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.
reflect_list_suite_executions is provided by the SmartBear MCP MCP server (@smartbear/mcp). 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