Low Risk

analyze_field_impact

Analyze the upstream and downstream impact of modifying or deleting a specific field in a table. Performs base-wide scan to recursively trace local and foreign dependents and returns a safety recommendation checklist.

How to control analyze_field_impact ↓

What analyze_field_impact does on Teable MCP Server

AI agents call analyze_field_impact to retrieve information from Teable MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why analyze_field_impact needs a policy

This is a read-only analysis tool that scans schema metadata to understand relationships and dependencies before a hypothetical field modification. It retrieves and presents information without creating, modifying, deleting, or executing any changes. The tool serves an informational safety purpose and poses minimal risk even if misused, as it cannot alter data or trigger operations.

From the tool's definition Tool performs analysis and tracing of dependencies ('Analyze the upstream and downstream impact', 'recursively trace local and foreign dependents', 'returns a safety recommendation checklist').

Documented attack patterns abuse exactly the kind of access analyze_field_impact gives an agent:

How to control analyze_field_impact

PolicyLayer is an MCP gateway — it sits between your AI agents and Teable MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for analyze_field_impact:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "analyze_field_impact": {}
  }
}

analyze_field_impact is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Teable MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about analyze_field_impact

What does the analyze_field_impact tool do? +

Analyze the upstream and downstream impact of modifying or deleting a specific field in a table. Performs base-wide scan to recursively trace local and foreign dependents and returns a safety recommendation checklist. It is categorised as a Read tool in the Teable MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyze_field_impact? +

Register the Teable MCP Server MCP server in PolicyLayer and add a rule for analyze_field_impact: 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 Teable MCP Server. Nothing to install.

What risk level is analyze_field_impact? +

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

Can I rate-limit analyze_field_impact? +

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

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

analyze_field_impact is provided by the Teable MCP Server MCP server (ltphat2204/teable-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Teable MCP Server tool call.

Start from Teable MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

29 Teable MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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