AI agents use apply_average to create or update resources in Office Editor — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Office Editor environment.
Given the server's purpose (creating/editing office documents) and the pattern of sibling tools, 'apply_average' most likely applies averaging operations to spreadsheet data—a reversible modification operation. Categorized as Write rather than Execute because it appears to be a data transformation tool rather than arbitrary code execution. Confidence is moderate due to empty description.
From the tool's definition Tool name 'apply_average' on an office document editor MCP server; sibling tools include write operations like 'add_conditional_formatting', 'add_data_bar', 'add_worksheet'.
Documented attack patterns abuse exactly the kind of access apply_average gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Office Editor, and nothing reaches the server without passing your rules. This is the rule we recommend for apply_average:
{
"version": "1",
"default": "deny",
"tools": {
"apply_average": {
"limits": [
{
"counter": "apply_average_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}apply_average stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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apply_average. It is categorised as a Write tool in the Office Editor MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Office Editor MCP server in PolicyLayer and add a rule for apply_average: 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 Office Editor. Nothing to install.
apply_average 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 apply_average 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 apply_average. 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.
apply_average is provided by the Office Editor MCP server (thewdy/office-editor-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 88 Office Editor tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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88 Office Editor tools catalogued and risk-classified — across an index of 42,500+ MCP servers.