summarize_table

A read tool on the Mcpg MCP server.

SERVERMcpg SOURCEpypi:mcpg

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-devopam-mcpg/summarize-table.md

WHAT IT DOES

What summarize_table does on Mcpg

AI agents call summarize_table to retrieve information from Mcpg 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_table is rated Low

The name indicates a read operation that queries and summarizes existing table data. Without a description, confidence is moderate, but the action appears to have no side effects—it retrieves and aggregates information rather than executing arbitrary code, modifying data, or triggering external operations. The low severity reflects the typical safety profile of data summarization tools.

From the tool's definition Tool name 'summarize_table' suggests retrieval and aggregation of table data without modification. No description provided to confirm scope.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs summarize_table safely

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

summarize_table Allowed

summarize_table 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_table": {}
  }
}

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

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

FAQ

Questions about summarize_table

What does the summarize_table tool do? +

summarize_table is a read tool on the Mcpg MCP server. It is categorised as a Read tool in the Mcpg MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on summarize_table? +

Register the Mcpg MCP server in PolicyLayer and add a rule for summarize_table: 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 Mcpg. Nothing to install.

What risk level is summarize_table? +

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

Can I rate-limit summarize_table? +

Yes. Add a rate_limit block to the summarize_table 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_table completely? +

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

summarize_table is provided by the Mcpg MCP server (pypi:mcpg). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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