Low Risk

get_agent_registry

Live roster of the AI platforms + agent frameworks that have actually called DC Hub in the window — returns each caller with its citation counts (24h/30d), tool-usage breakdown, and authentication tier (reflects real calls, not a fixed list). Recognized MCP clients include Claude and Cursor, with...

Part of the Mcp Server server.

get_agent_registry 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 get_agent_registry to retrieve information from Mcp Server 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 get_agent_registry 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": {
    "get_agent_registry": {}
  }
}

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Get this rule live on your own Mcp Server 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 get_agent_registry gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so get_agent_registry 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 get_agent_registry tool do? +

Live roster of the AI platforms + agent frameworks that have actually called DC Hub in the window — returns each caller with its citation counts (24h/30d), tool-usage breakdown, and authentication tier (reflects real calls, not a fixed list). Recognized MCP clients include Claude and Cursor, with Cline, Continue and other agents surfaced as they connect. Useful for benchmarking which agents discover and integrate the platform. Try: get_agent_registry.. It is categorised as a Read tool in the Mcp Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_agent_registry? +

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

What risk level is get_agent_registry? +

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

Can I rate-limit get_agent_registry? +

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

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

get_agent_registry is provided by the Mcp Server MCP server (https://dchub.cloud/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Server tool call.

Deterministic rules across all 33 Mcp Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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