This record as markdown: /tools/io-github-dave-london-go/pull.md
What pull does on Go
AI agents invoke pull to trigger actions in Go. 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 pull is rated High
Pulling a Docker image is an external operation that modifies the local Docker image store by downloading and registering a new image. It is not purely a read (it has side effects on the local environment), not destructive, and not financial. It falls under Execute because it triggers an external operation (registry network call + local daemon modification) whose effects depend on the image argument provided.
From the tool's definition 'Pulls a Docker image from a registry' — triggers an external network operation that downloads and installs a Docker image into the local Docker daemon
Attacks that exploit this kind of access
The rule that runs pull safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Go, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For pull, this is the rule to start with:
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 Go, apply this rule, and every pull call is checked against it from then on.
Questions about pull
Pulls a Docker image from a registry and returns structured result with digest info. It is categorised as a Execute tool in the Go MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Go MCP server in PolicyLayer and add a rule for 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 Go. Nothing to install.
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 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 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.
pull is provided by the Go 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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