Low Risk

edm_wiki_search

Search significance wiki by emotional criteria. Queries local significance_article.md files by arc_type, emotional_weight, identity_thread.

Part of the Deepadata Edm server.

edm_wiki_search is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call edm_wiki_search to retrieve information from Deepadata Edm without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though edm_wiki_search only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

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

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 edm_wiki_search 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 edm_wiki_search only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the edm_wiki_search tool do? +

Search significance wiki by emotional criteria. Queries local significance_article.md files by arc_type, emotional_weight, identity_thread.. It is categorised as a Read tool in the Deepadata Edm MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on edm_wiki_search? +

Register the Deepadata Edm MCP server in PolicyLayer and add a rule for edm_wiki_search: 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 edm_wiki_search? +

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

Can I rate-limit edm_wiki_search? +

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

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

edm_wiki_search 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.

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