Skip to main content
Glama
smurfy92

openclaw-control-mcp

by smurfy92

openclaw_node_pending_ack

Acknowledge and commit completion of a pending work item. Use after processing to mark the item as done.

Instructions

Acknowledge / commit completion of a pending work item. Wraps node.pending.ack.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemIdNo
nodeIdYes
instanceNoOptional OpenClaw instance to route this call to (e.g. 'default', 'work'). Falls back to the active default instance, or the OPENCLAW_GATEWAY_URL/TOKEN env vars when set. List configured instances with openclaw_setup_list.
Behavior2/5

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

With no annotations, the description fully bears the burden of disclosure. It indicates a mutation (acknowledging completion) but provides no details on side effects, permission requirements, or what happens to the item. The agent is left guessing about the tool's impact.

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

Conciseness4/5

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

The description is very concise, consisting of two short sentences. It is front-loaded with the core purpose. However, it may be too terse, sacrificing necessary detail for brevity.

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

Completeness2/5

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

Given the tool has 3 parameters, no output schema, and many sibling tools with similar names, the description is incomplete. It lacks explanations of parameters, return values, and timing or conditions for use, leaving significant gaps for an agent to infer.

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

Parameters1/5

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

The schema has low description coverage (33%), with only 'instance' described. The description adds no information about the parameters: it does not explain 'nodeId' (required) or 'itemId'. The agent cannot infer their meaning from the description alone.

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

Purpose4/5

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

The description clearly states the tool acknowledges or commits completion of a pending work item. However, it does not differentiate from sibling tools like openclaw_node_pending_pull or openclaw_node_pending_drain, which reduces clarity for an AI agent selecting among them.

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

Usage Guidelines2/5

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

No guidance is given on when to use this tool versus alternatives. It does not mention prerequisites, such as having pulled a pending item, or context like completing processing. This lack of usage context makes it hard for an agent to decide when to invoke it.

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/smurfy92/openclaw-control-mcp'

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