Low Risk

search_in_cell_range

search_in_cell_range

How to control search_in_cell_range ↓

What search_in_cell_range does on OpenPyXL MCP Server

AI agents call search_in_cell_range to retrieve information from OpenPyXL MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why search_in_cell_range needs a policy

Despite the empty description, the naming pattern and context of sibling tools strongly indicate this is a data query/search operation with no side effects. Searching within a cell range retrieves information without altering the spreadsheet. Confidence is slightly reduced due to the missing tool description, but the broader server context and peer tools provide sufficient evidence of read-only semantics.

From the tool's definition Tool name 'search_in_cell_range' and sibling tools ('get_cell_details','get_cell_value','get_content_of_cell_list','get_list_of_sheets','get_values_of_cell_range') are all read-only data retrieval operations on Excel files.

Documented attack patterns abuse exactly the kind of access search_in_cell_range gives an agent:

How to control search_in_cell_range

PolicyLayer is an MCP gateway — it sits between your AI agents and OpenPyXL MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for search_in_cell_range:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "search_in_cell_range": {}
  }
}

search_in_cell_range is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register OpenPyXL MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
CAP THIS TOOL →

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Related tools and policies

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Questions about search_in_cell_range

What does the search_in_cell_range tool do? +

search_in_cell_range. It is categorised as a Read tool in the OpenPyXL MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_in_cell_range? +

Register the OpenPyXL MCP Server MCP server in PolicyLayer and add a rule for search_in_cell_range: 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 OpenPyXL MCP Server. Nothing to install.

What risk level is search_in_cell_range? +

search_in_cell_range is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit search_in_cell_range? +

Yes. Add a rate_limit block to the search_in_cell_range 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.

How do I block search_in_cell_range completely? +

Set action: deny in the PolicyLayer policy for search_in_cell_range. 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.

What MCP server provides search_in_cell_range? +

search_in_cell_range is provided by the OpenPyXL MCP Server MCP server (jonemo/openpyxl-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every OpenPyXL MCP Server tool call.

Start from OpenPyXL MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

6 OpenPyXL MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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