GOOGLESUPER_AGGREGATE_COLUMN_DATA

Searches for rows where a specific column matches a value and performs mathematical operations on data from another column.

SERVERGoogle Super SOURCEgooglesuper

Low RISK CLASS

Category Read

Parameters 90 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/googlesuper/googlesuper-aggregate-column-data.md

WHAT IT DOES

What GOOGLESUPER_AGGREGATE_COLUMN_DATA does on Google Super

AI agents call GOOGLESUPER_AGGREGATE_COLUMN_DATA to retrieve information from Google Super without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Parameter	Type	Required	Description
`operation`	string	—	The mathematical operation to perform on the target column values.
`sheet_name`	string	—	The name of the specific sheet within the spreadsheet.
`search_value`	string	—	The exact value to search for in the search column. Case-sensitive by default.
`search_column`	string	—	The column to search in. Can be a letter (e.g., 'A', 'B') or column name from header row (e.g., 'Region', 'Department').
`target_column`	string	—	The column to aggregate data from. Can be a letter (e.g., 'C', 'D') or column name from header row (e.g., 'Sales', 'Revenue').
`case_sensitive`	boolean	—	Whether the search should be case-sensitive.
`has_header_row`	boolean	—	Whether the first row contains column headers. If True, column names can be used for search_column and target_column.
`spreadsheet_id`	string	—	The unique identifier of the Google Sheets spreadsheet.
`percentage_total`	number	—	For percentage operation, the total value to calculate percentage against. If not provided, uses sum of all values in target column.

Parameters from the server's own tool schema.

RISK

Why GOOGLESUPER_AGGREGATE_COLUMN_DATA is rated Low

This tool retrieves and aggregates data from a spreadsheet or database without creating, modifying, or deleting any records. The mathematical operations (aggregate functions like sum, average, etc.) are computed on existing data for reporting purposes only. No side effects or state changes occur. This is a classic Read operation.

From the tool's definition Tool description states it 'Searches for rows where a specific column matches a value and performs mathematical operations on data from another column.' This is a query and aggregation operation with no modification to data.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs GOOGLESUPER_AGGREGATE_COLUMN_DATA safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Google Super, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For GOOGLESUPER_AGGREGATE_COLUMN_DATA, this is the rule to start with:

GOOGLESUPER_AGGREGATE_COLUMN_DATA Allowed

GOOGLESUPER_AGGREGATE_COLUMN_DATA is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "GOOGLESUPER_AGGREGATE_COLUMN_DATA": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Google Super, apply this rule, and every GOOGLESUPER_AGGREGATE_COLUMN_DATA call is checked against it from then on.

FAQ

Questions about GOOGLESUPER_AGGREGATE_COLUMN_DATA

What does the GOOGLESUPER_AGGREGATE_COLUMN_DATA tool do? +

Searches for rows where a specific column matches a value and performs mathematical operations on data from another column. It is categorised as a Read tool in the Google Super MCP Server, which means it retrieves data without modifying state.

What parameters does GOOGLESUPER_AGGREGATE_COLUMN_DATA accept? +

GOOGLESUPER_AGGREGATE_COLUMN_DATA accepts 9 parameters: operation, sheet_name, search_value, search_column, target_column, case_sensitive, has_header_row, spreadsheet_id, percentage_total. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on GOOGLESUPER_AGGREGATE_COLUMN_DATA? +

Register the Google Super MCP server in PolicyLayer and add a rule for GOOGLESUPER_AGGREGATE_COLUMN_DATA: 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 Google Super. Nothing to install.

What risk level is GOOGLESUPER_AGGREGATE_COLUMN_DATA? +

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

Can I rate-limit GOOGLESUPER_AGGREGATE_COLUMN_DATA? +

Yes. Add a rate_limit block to the GOOGLESUPER_AGGREGATE_COLUMN_DATA 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 GOOGLESUPER_AGGREGATE_COLUMN_DATA completely? +

Set action: deny in the PolicyLayer policy for GOOGLESUPER_AGGREGATE_COLUMN_DATA. 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 GOOGLESUPER_AGGREGATE_COLUMN_DATA? +

GOOGLESUPER_AGGREGATE_COLUMN_DATA is provided by the Google Super MCP server (googlesuper). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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