load_data

Load and parse data from CSV, Excel, JSON, Parquet, or HDF5 files with optional column selection and row limiting.

SERVERCLIO Adios SOURCEpypi:clio-kit

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-iowarp-adios-mcp/load-data.md

WHAT IT DOES

What load_data does on CLIO Adios

AI agents call load_data 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.

RISK

Why load_data is rated Low

This tool retrieves and queries data from structured files without modifying, executing code, or creating side effects. It is a straightforward data loading utility with read-only semantics. The optional parameters (column selection, row limiting) are filters that reduce data scope, not alter it.

From the tool's definition Tool description explicitly states 'Load and parse data' from various file formats with 'optional column selection and row limiting'. No write, delete, execute, or financial operations are mentioned.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs load_data 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 load_data, this is the rule to start with:

load_data Allowed

load_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": {
    "load_data": {}
  }
}

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

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

FAQ

Questions about load_data

What does the load_data tool do? +

Load and parse data from CSV, Excel, JSON, Parquet, or HDF5 files with optional column selection and row limiting. It is categorised as a Read tool in the CLIO Adios MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on load_data? +

Register the CLIO Adios MCP server in PolicyLayer and add a rule for load_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 CLIO Adios. Nothing to install.

What risk level is load_data? +

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

Can I rate-limit load_data? +

Yes. Add a rate_limit block to the load_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 load_data completely? +

Set action: deny in the PolicyLayer policy for load_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 load_data? +

load_data 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.

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