image_pull
A execute tool on the MCP Framework Personal MCP server.
This record as markdown: /tools/inggerman-mcps/image-pull.md
What image_pull does on MCP Framework Personal
AI agents invoke image_pull to trigger actions in MCP Framework Personal. 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 image_pull is rated High
The name 'image_pull' most likely refers to pulling a container image (like 'docker pull'), which is an Execute-category action as it triggers an external operation. However, it could also refer to fetching/downloading an image file (Read). Given the ambiguity from the empty description, Execute is chosen as the more severe and plausible interpretation in a production server framework context.
From the tool's definition Tool name 'image_pull' suggests pulling a container image (e.g., Docker), which triggers an external operation fetching and storing images locally. Description is empty, lowering confidence.
Attacks that exploit this kind of access
The rule that runs image_pull safely
PolicyLayer is an MCP gateway: it sits between your AI agents and MCP Framework Personal, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For image_pull, this is the rule to start with:
image_pull 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 MCP Framework Personal, apply this rule, and every image_pull call is checked against it from then on.
Questions about image_pull
image_pull is a execute tool on the MCP Framework Personal MCP server. It is categorised as a Execute tool in the MCP Framework Personal MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Framework Personal MCP server in PolicyLayer and add a rule for image_pull: 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 MCP Framework Personal. Nothing to install.
image_pull 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 image_pull 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 image_pull. 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.
image_pull is provided by the MCP Framework Personal MCP server (inggerman/mcps). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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