Run Healer agent to execute and auto-repair failing tests.
AI agents invoke run_healer to trigger actions in Mobile Testing AI Agent MCP Server. 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 triggers execution of an automated test healing agent that both runs tests (Execute) and modifies test code or state through auto-repair logic (Write-like effects). The primary action is Execute — invoking an external test automation process whose behavioral outcome depends on the target app, test suite, and repair logic. Auto-repair implies the tool may write changes back to test files or state.
From the tool's definition 'Run Healer agent to execute and auto-repair failing tests' — the tool executes test automation workflows and modifies test artifacts (repairs/auto-fixes failing tests), which are side-effects that depend on test state and configuration arguments.
Documented attack patterns abuse exactly the kind of access run_healer gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mobile Testing AI Agent MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for run_healer:
{
"version": "1",
"default": "deny",
"tools": {
"run_healer": {
"limits": [
{
"counter": "run_healer_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} run_healer stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Run Healer agent to execute and auto-repair failing tests. It is categorised as a Execute tool in the Mobile Testing AI Agent MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mobile Testing AI Agent MCP Server MCP server in PolicyLayer and add a rule for run_healer: 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 Mobile Testing AI Agent MCP Server. Nothing to install.
run_healer 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_healer 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_healer. 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_healer is provided by the Mobile Testing AI Agent MCP Server MCP server (padmarajnidagundi/mobile-app-testing-ai-agent-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mobile Testing AI Agent MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
6 Mobile Testing AI Agent MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.