Low Risk

get_integrations

List all connected integrations (GitHub, Linear, Slack, etc.). USE THIS TOOL: Before using integration actions to see what's available. WORKFLOW: 1) Call this to see available integrations, 2) Call get_integration_actions with a slug to see what you can do, 3) Call execute_integration_action to d...

Part of the Core server.

get_integrations 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_integrations to retrieve information from Core 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_integrations 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_integrations": {}
  }
}

See the full Core policy for all 9 tools.

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These attack patterns abuse exactly the kind of access get_integrations 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_integrations 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_integrations tool do? +

List all connected integrations (GitHub, Linear, Slack, etc.). USE THIS TOOL: Before using integration actions to see what's available. WORKFLOW: 1) Call this to see available integrations, 2) Call get_integration_actions with a slug to see what you can do, 3) Call execute_integration_action to do it. Returns: Array with slug, name, accountId, and hasMcp for each integration.. It is categorised as a Read tool in the Core MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_integrations? +

Register the Core MCP server in PolicyLayer and add a rule for get_integrations: 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 Core. Nothing to install.

What risk level is get_integrations? +

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

Can I rate-limit get_integrations? +

Yes. Add a rate_limit block to the get_integrations 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_integrations completely? +

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

get_integrations is provided by the Core MCP server (@transcend-io/mcp-server-core). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Core tool call.

Deterministic rules across all 9 Core tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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