Low Risk

list_pinned_outputs

List output pages currently pinned to the workspace home/sidebar. Pinned outputs are workspace-level shortcuts to workflow output pages, stored on Workspace.metadata.pinnedOutputs. Use this before changing pins so you can avoid duplicating or removing the wrong shortcut.

Part of the Agentled server.

list_pinned_outputs 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 list_pinned_outputs to retrieve information from Agentled 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 list_pinned_outputs 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": {
    "list_pinned_outputs": {}
  }
}

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

List output pages currently pinned to the workspace home/sidebar. Pinned outputs are workspace-level shortcuts to workflow output pages, stored on Workspace.metadata.pinnedOutputs. Use this before changing pins so you can avoid duplicating or removing the wrong shortcut.. It is categorised as a Read tool in the Agentled MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_pinned_outputs? +

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

What risk level is list_pinned_outputs? +

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

Can I rate-limit list_pinned_outputs? +

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

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

list_pinned_outputs is provided by the Agentled MCP server (@agentled/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 Agentled tool call.

Deterministic rules across all 119 Agentled tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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