Skip to main content
Glama

manus_task_wait

Poll a task until it reaches a terminal state (stopped/waiting/error) or times out, returning final status, new messages, and if waiting, the event_id and input schema for confirmation actions.

Instructions

Poll a task until it reaches a terminal state (stopped / waiting / error) or times out. Returns the final status, new messages, and — if waiting — the event_id and input schema needed for manus_task_confirm_action or the body needed for manus_task_send_message.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_idYes
timeout_secNo
poll_interval_secNo
since_message_idNoIf set, only return messages newer than this ID in new_messages.
include_verboseNoPass verbose=true to task.listMessages (adds tool_used/plan/explanation).
include_assistant_content_onlyNoIf true, new_messages only contains user/assistant/error/status events.
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description discloses polling behavior, timeout, filtering via since_message_id, and return values. It does not mention rate limits or side effects, but for a read-like poll operation this is sufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the main action and followed by return information. No unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers purpose, terminal states, timeout, return values, and next steps. Missing details like error handling specifics are acceptable given the tool's simplicity and lack of output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 50%, and the description does not detail the undocumented parameters (task_id, timeout_sec, poll_interval_sec) beyond implying their roles. It relies on the schema for those, but provides enough context for usage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses specific verb 'Poll' and resource 'task', states terminal states and timeout behavior, and clearly differentiates from sibling tools like manus_task_detail or manus_task_stop.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains when to use this tool (after starting a task) and references related tools (manus_task_confirm_action, manus_task_send_message) for next steps, though it does not explicitly exclude alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/aruxojuyu665/Manus-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server