AI agents invoke mcp7zop_extract_archive to trigger actions in Mcp7zOp. 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.
The tool name strongly implies extracting archive contents to the filesystem, which is an execution-level operation that writes files to disk based on archive contents. It could overwrite existing files during extraction, making it potentially destructive, but extraction is typically reversible.
From the tool's definition Tool name: mcp7zop_extract_archive; server description mentions 'extraction' as a key operation
Attacks that exploit this kind of access
mcp7zop_extract_archive. It is categorised as a Execute tool in the Mcp7zOp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcp7zOp MCP server in PolicyLayer and add a rule for mcp7zop_extract_archive: 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 Mcp7zOp. Nothing to install.
mcp7zop_extract_archive 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 mcp7zop_extract_archive 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 mcp7zop_extract_archive. 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.
mcp7zop_extract_archive is provided by the Mcp7zOp MCP server (zv-louis/mcp7zop). 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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