This record as markdown: /tools/io-github-dave-london-pare-test/run.md
What run does on Test
AI agents invoke run to trigger actions in Test. 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.
Why run is rated High
The 'run' tool executes scripts or files, which triggers external code execution whose effects depend entirely on the arguments (which script/file is passed and its contents). This is a classic Execute category tool—it does not merely query data (Read), create reversible changes (Write), or permanently delete data (Destructive), but rather invokes arbitrary code execution.
From the tool's definition Tool name is 'run' and description states it 'Runs a script or file with' (description appears truncated but the intent is clear). The sibling tools on this server include 'ansible-playbook' and 'apply', indicating this is an execution/automation context.
Attacks that exploit this kind of access
The rule that runs run safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Test, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For run, this is the rule to start with:
run 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Test, apply this rule, and every run call is checked against it from then on.
Questions about run
Runs a script or file with. It is categorised as a Execute tool in the Test MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Test MCP server in PolicyLayer and add a rule for run: 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 Test. Nothing to install.
run 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 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. 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 is provided by the Test MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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