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.
This record as markdown: /tools/deepadata-edm/deepadata-activate.md
What deepadata_activate does on Deepadata Edm
AI agents call deepadata_activate to retrieve information from Deepadata Edm without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
query | string | Yes | Natural language memory query (e.g. "when was I happiest with mum") |
top_k | number | — | Number of results to target (default: 10) |
subject_vp_id | string | — | Optional VitaPass subject ID for personalised routing |
Parameters from the server's own tool schema.
Why deepadata_activate is rated Low
The tool translates/converts a natural language query into filter parameters for use in a memory query. It performs a translation/mapping operation with no apparent side effects, data modification, or execution of commands. It is preparatory to a read operation, effectively acting as a query builder. The description is somewhat vague, which lowers confidence slightly.
From the tool's definition Translate a natural language memory query into EDM significance field filters... add a significance channel alongside semantic search
Attacks that exploit this kind of access
The rule that runs deepadata_activate safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Deepadata Edm, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For deepadata_activate, this is the rule to start with:
deepadata_activate is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Deepadata Edm, apply this rule, and every deepadata_activate call is checked against it from then on.
Questions about 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. It is categorised as a Read tool in the Deepadata Edm MCP Server, which means it retrieves data without modifying state.
deepadata_activate accepts 3 parameters: query, top_k, subject_vp_id. Required: query. The full parameter table on this page comes from the server's own tool schema.
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.
deepadata_activate is a Read tool with low risk. Read-only tools are generally safe to allow by default.
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.
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.
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.
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