groupby_operations
Group data by columns and apply aggregations (sum, mean, count, min, max, std, median) with optional pre-filter.
This record as markdown: /tools/io-github-iowarp-adios-mcp/groupby-operations.md
What groupby_operations does on CLIO Adios
AI agents call groupby_operations to retrieve information from CLIO Adios without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why groupby_operations is rated Low
The tool performs data grouping and statistical aggregation operations—standard analytical queries on BP5 data. No mutations, deletions, code execution, or side effects are indicated. The 'optional pre-filter' is a read parameter, not a write or destructive action. This falls squarely under Read category with low severity because misuse would only affect query results, not data integrity or system state.
From the tool's definition Tool description states it 'Group data by columns and apply aggregations (sum, mean, count, min, max, std, median) with optional pre-filter.' These are read-only analytical operations that compute statistics on existing data without modifying, deleting, or…
Attacks that exploit this kind of access
The rule that runs groupby_operations safely
PolicyLayer is an MCP gateway: it sits between your AI agents and CLIO Adios, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For groupby_operations, this is the rule to start with:
groupby_operations is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect CLIO Adios, apply this rule, and every groupby_operations call is checked against it from then on.
Questions about groupby_operations
Group data by columns and apply aggregations (sum, mean, count, min, max, std, median) with optional pre-filter. It is categorised as a Read tool in the CLIO Adios MCP Server, which means it retrieves data without modifying state.
Register the CLIO Adios MCP server in PolicyLayer and add a rule for groupby_operations: 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 CLIO Adios. Nothing to install.
groupby_operations is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the groupby_operations 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 groupby_operations. 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.
groupby_operations is provided by the CLIO Adios MCP server (pypi:clio-kit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on CLIO Adios, and thousands of servers like it.
This server
Across the catalogue