Low Risk

task_read

Fetch task details including createdDate/updatedDate fields derived from ClickUp timestamps. Subtask cues (isSubtask, parentId, hasSubtasks, subtaskCount) are included; check them before claiming there are no subtasks. GET /task/{task_id}

Accepts URL/endpoint input (context.tasks[].url); High parameter count (21 properties)

Part of the Clickup MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

AI agents call task_read 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 task_read 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.

clickup.yaml
tools:
  task_read:
    rules:
      - action: allow

See the full Clickup policy for all 41 tools.

Tool Name task_read
Category Read
MCP Server Clickup MCP Server
Risk Level Low

View all 41 tools →

Agents calling read-class tools like task_read have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.

What does the task_read tool do? +

Fetch task details including createdDate/updatedDate fields derived from ClickUp timestamps. Subtask cues (isSubtask, parentId, hasSubtasks, subtaskCount) are included; check them before claiming there are no subtasks. GET /task/{task_id}. 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 task_read? +

Add a rule in your Intercept YAML policy under the tools section for task_read. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Clickup MCP server.

What risk level is task_read? +

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

Can I rate-limit task_read? +

Yes. Add a rate_limit block to the task_read rule in your Intercept 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 task_read completely? +

Set action: deny in the Intercept policy for task_read. 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 task_read? +

task_read is provided by the Clickup MCP server (@taazkareem/clickup-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Clickup

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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