Medium Risk

save-insight

Save a useful insight after the user is satisfied with a result. Use this for durable gotchas, working patterns, enum values, date quirks, or join strategies that actually worked.

How to control save-insight ↓

What save-insight does on Askdb

AI agents use save-insight to create or update resources in Askdb — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Askdb environment.

Medium Risk

Why save-insight needs a policy

This tool creates or stores new records (insights/metadata) in some storage mechanism, making it a Write operation. The severity is low because: (1) the data being written is informational/descriptive metadata about database usage patterns, not critical business data; (2) the operation is reversible—saved insights can be deleted or corrected; (3) the blast radius of accidental misuse is limited to polluting the…

From the tool's definition Tool name 'save-insight' and description stating 'Save a useful insight' indicates data creation/modification.

Documented attack patterns abuse exactly the kind of access save-insight gives an agent:

How to control save-insight

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "save-insight": {
      "limits": [
        {
          "counter": "save-insight_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

save-insight stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Askdb — 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 save-insight

What does the save-insight tool do? +

Save a useful insight after the user is satisfied with a result. Use this for durable gotchas, working patterns, enum values, date quirks, or join strategies that actually worked. It is categorised as a Write tool in the Askdb MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on save-insight? +

Register the Askdb MCP server in PolicyLayer and add a rule for save-insight: 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 Askdb. Nothing to install.

What risk level is save-insight? +

save-insight is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit save-insight? +

Yes. Add a rate_limit block to the save-insight 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 save-insight completely? +

Set action: deny in the PolicyLayer policy for save-insight. 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 save-insight? +

save-insight is provided by the Askdb MCP server (mgorabbani/askdb). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Askdb tool call.

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

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