summarize_tool

Return Parquet schema, row count, and file size.

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/summarize-tool.md

WHAT IT DOES

What summarize_tool does on CLIO Adios

AI agents call summarize_tool 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 summarize_tool is rated Low

This tool exclusively retrieves and queries information about a Parquet file's structure and size. It performs no write, execute, destructive, or financial operations. The data returned (schema, row count, file size) are read-only metadata queries with no side effects, fitting squarely into the Read category. Severity is low because misuse by an AI agent would only surface information already accessible.

From the tool's definition The tool 'summarize_tool' returns 'Parquet schema, row count, and file size' — metadata and statistical information about an existing file without modification.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

summarize_tool Allowed

summarize_tool 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": {
    "summarize_tool": {}
  }
}

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 summarize_tool call is checked against it from then on.

FAQ

Questions about summarize_tool

What does the summarize_tool tool do? +

Return Parquet schema, row count, and file size. 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 summarize_tool? +

Register the CLIO Adios MCP server in PolicyLayer and add a rule for summarize_tool: 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 summarize_tool? +

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

Can I rate-limit summarize_tool? +

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

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

summarize_tool 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.

KEEP EXPLORING

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