Low Risk

reference_page_fetch

Fetch a public ClickUp API reference page from a link returned by reference_link_list.

Risk signalsAccepts URL/endpoint input (url)

Part of the Clickup server.

reference_page_fetch 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 reference_page_fetch to retrieve information from Clickup 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 reference_page_fetch 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": {
    "reference_page_fetch": {}
  }
}

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

Fetch a public ClickUp API reference page from a link returned by reference_link_list.. It is categorised as a Read tool in the Clickup MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on reference_page_fetch? +

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

What risk level is reference_page_fetch? +

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

Can I rate-limit reference_page_fetch? +

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

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

reference_page_fetch is provided by the Clickup MCP server (@taazkareem/clickup-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 Clickup tool call.

Deterministic rules across all 41 Clickup tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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