Medium Risk

deepadata_activate

Translate a natural language memory query into EDM significance field filters. Use before querying your memory system to add a significance channel alongside semantic search.

Risk signalsAccepts freeform code/query input (query)

Part of the Deepadata Edm server.

deepadata_activate can modify Deepadata Edm data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use deepadata_activate to create or modify resources in Deepadata Edm. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call deepadata_activate repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Deepadata Edm.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "deepadata_activate": {
      "limits": [
        {
          "counter": "deepadata_activate_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Deepadata Edm policy for all 8 tools.

Get this rule live on your own Deepadata Edm server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access deepadata_activate gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so deepadata_activate only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the deepadata_activate tool do? +

Translate a natural language memory query into EDM significance field filters. Use before querying your memory system to add a significance channel alongside semantic search.. It is categorised as a Write tool in the Deepadata Edm MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on deepadata_activate? +

Register the Deepadata Edm MCP server in PolicyLayer and add a rule for deepadata_activate: 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 Deepadata Edm. Nothing to install.

What risk level is deepadata_activate? +

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

Can I rate-limit deepadata_activate? +

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

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

deepadata_activate is provided by the Deepadata Edm MCP server (deepadata-edm-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 Deepadata Edm tool call.

Deterministic rules across all 8 Deepadata Edm tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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