Update a file
AI agents use update_file to create or update resources in Kockatoos Shopify MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Kockatoos Shopify MCP Server environment.
This tool creates or modifies data reversibly, fitting the Write category. It's not Destructive (doesn't permanently delete), Execute (doesn't run arbitrary code), or Read (actively changes state). Severity is medium because file updates in an e-commerce context could affect product listings, configurations, or customer-facing content, but the impact is generally reversible.
From the tool's definition Tool name 'update_file' with description 'Update a file' indicates modification of existing data. Context as a Shopify Admin API tool suggests files likely relate to product images, documents, or store assets.
Attacks that exploit this kind of access
Update a file. It is categorised as a Write tool in the Kockatoos Shopify MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Kockatoos Shopify MCP Server MCP server in PolicyLayer and add a rule for update_file: 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 Kockatoos Shopify MCP Server. Nothing to install.
update_file is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the update_file 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 update_file. 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.
update_file is provided by the Kockatoos Shopify MCP Server MCP server (untitled-developers/shopify-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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