Skip to main content
Glama
OnStartups

Agent.ai MCP Server

by OnStartups

openclaw_get_details

Retrieve your OpenClaw instance IP, authentication token, and status. Use these outputs in subsequent OpenClaw actions by referencing {{openclaw.instance_ip}} and {{openclaw.auth_token}}.

Instructions

Fetch the current user's OpenClaw instance IP, auth token, and status. Outputs can be referenced as {{openclaw.instance_ip}} and {{openclaw.auth_token}} in subsequent actions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
output_variable_nameYesVariable name for the result. Use {{openclaw.instance_ip}} and {{openclaw.auth_token}} in subsequent OpenClaw actions.openclaw
Behavior3/5

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

No annotations are provided, so the description carries the burden. It indicates a read-only operation ('Fetch'), but does not disclose potential side effects, authentication requirements, or rate limits. The template variable reference adds some context.

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 with no waste. The first sentence states the action, and the second explains output usage. Information is front-loaded.

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 lists key output fields (IP, auth token, status) and their usage. However, it omits details about the status value structure or possible values. Still, it is sufficient for an agent to correctly invoke the tool.

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

Parameters4/5

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

Schema coverage is 100% for the single parameter. The description adds meaning beyond the schema by showing how to use the output (template variables), which helps the agent understand the parameter's role.

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 a specific verb ('Fetch') and clearly states the resources: IP, auth token, and status. It distinguishes from siblings like 'openclaw_chat_completion' and 'openclaw_tools_invoke' by focusing on instance details.

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 implies usage before subsequent OpenClaw actions by mentioning template variables, but it does not explicitly state when to prefer this tool over alternatives or when not to use 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/OnStartups/agentai-mcp-server'

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