Browse manual test runs for a project. Filter by status (active|closed), state (new|in_progress|on_hold|done), environment, release (releaseId), tags (csv or single), or free-text search on name. Pass releaseId=
AI agents call list_manual_runs to retrieve information from Testdino without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Even though list_manual_runs only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
Browse manual test runs for a project. Filter by status (active|closed), state (new|in_progress|on_hold|done), environment, release (releaseId), tags (csv or single), or free-text search on name. Pass releaseId=. It is categorised as a Read tool in the Testdino MCP Server, which means it retrieves data without modifying state.
Register the Testdino MCP server in PolicyLayer and add a rule for list_manual_runs: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Testdino. Nothing to install.
list_manual_runs 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 list_manual_runs rule in your PolicyLayer 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 PolicyLayer policy for list_manual_runs. 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.
list_manual_runs is provided by the Testdino MCP server (testdino-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.