AI agents call list_test_runs to retrieve information from Tuskr without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and lists test run data without modifying, executing, or deleting anything. It is a pure read operation that queries existing data, making it the lowest risk category with minimal blast radius if misused by an AI agent.
From the tool's definition Tool description explicitly states 'List test runs for a project (read-only)'. The name 'list_test_runs' and read-only qualifier confirm this is a retrieval operation with no side effects.
Attacks that exploit this kind of access
List test runs for a project (read-only). It is categorised as a Read tool in the Tuskr MCP Server, which means it retrieves data without modifying state.
Register the Tuskr MCP server in PolicyLayer and add a rule for list_test_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 Tuskr. Nothing to install.
list_test_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_test_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_test_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_test_runs is provided by the Tuskr MCP server (zapkid/tuskr-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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