This record as markdown: /tools/io-github-dave-london-git/run.md
What run does on Git
AI agents invoke run to trigger actions in Git. 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
This tool permits execution of external code (scripts/files), making it an Execute category risk. The incomplete description ('with' trails off) leaves some ambiguity, but 'runs a script' is unambiguously code execution.
From the tool's definition Tool named 'run' with description 'Runs a script or file with' indicates execution of arbitrary scripts or files. On a git-focused server, this likely executes shell commands or scripts whose effects depend on the file content and arguments provided.
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 Git, 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 Git, 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 Git MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Git 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 Git. 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 Git MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Git, and thousands of servers like it.
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