cdc-count-dataset-rows

Count the rows in a CDC dataset via SoQL count(*) aggregate.

SERVERMeta Data Mcp SOURCEpypi:meta-data-mcp

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-derekslinz-meta-data-mcp/cdc-count-dataset-rows.md

WHAT IT DOES

What cdc-count-dataset-rows does on Meta Data Mcp

AI agents call cdc-count-dataset-rows to retrieve information from Meta Data Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why cdc-count-dataset-rows is rated Low

This tool performs a COUNT(*) aggregation on CDC data, which is a pure read operation. It retrieves data (row counts) without creating, modifying, deleting, or executing arbitrary code. The SoQL query is limited to counting rows, making it a safe data retrieval operation with minimal blast radius.

From the tool's definition Tool description states it 'Count the rows in a CDC dataset via SoQL count(*) aggregate' — a read-only query operation that retrieves aggregate statistics without modifying data.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs cdc-count-dataset-rows safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Meta Data Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For cdc-count-dataset-rows, this is the rule to start with:

cdc-count-dataset-rows Allowed

cdc-count-dataset-rows 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": {
    "cdc-count-dataset-rows": {}
  }
}

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

The button opens the PolicyLayer dashboard: create your workspace, connect Meta Data Mcp, apply this rule, and every cdc-count-dataset-rows call is checked against it from then on.

FAQ

Questions about cdc-count-dataset-rows

What does the cdc-count-dataset-rows tool do? +

Count the rows in a CDC dataset via SoQL count(*) aggregate. It is categorised as a Read tool in the Meta Data Mcp MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on cdc-count-dataset-rows? +

Register the Meta Data MCP server in PolicyLayer and add a rule for cdc-count-dataset-rows: 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 Meta Data Mcp. Nothing to install.

What risk level is cdc-count-dataset-rows? +

cdc-count-dataset-rows is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit cdc-count-dataset-rows? +

Yes. Add a rate_limit block to the cdc-count-dataset-rows 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 cdc-count-dataset-rows completely? +

Set action: deny in the PolicyLayer policy for cdc-count-dataset-rows. 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 cdc-count-dataset-rows? +

cdc-count-dataset-rows is provided by the Meta Data MCP server (pypi:meta-data-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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