Run original CLI test track and persist logs
AI agents invoke run_tests to trigger actions in AutoDev MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool executes CLI commands to run tests, which falls under the Execute category—it runs code/commands whose effects depend on the test suite arguments and environment. The severity is high because test execution could have side effects (database modifications, API calls, file system changes) depending on test content, though it appears designed for testing rather than production operations.
From the tool's definition Tool is described as 'Run original CLI test track' which executes tests via CLI. The server description confirms it 'enables automated test pipelines' and combines 'CLI test execution' capabilities.
Attacks that exploit this kind of access
Run original CLI test track and persist logs. It is categorised as a Execute tool in the AutoDev MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AutoDev MCP server in PolicyLayer and add a rule for run_tests: 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 AutoDev MCP. Nothing to install.
run_tests is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the run_tests 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 run_tests. 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.
run_tests is provided by the AutoDev MCP server (rookiejefren/autocoding-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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