deploy_to_xo
Deploys applications to the XO platform using natural language commands, enabling AI-assisted container deployment and lifecycle management.
Instructions
Deploy to XO
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Deploys applications to the XO platform using natural language commands, enabling AI-assisted container deployment and lifecycle management.
Deploy to XO
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description omits any behavioral traits such as whether the operation is destructive, idempotent, or requires authentication. For a deployment tool, critical details like deployment impact or rollback capabilities are absent, leaving the agent blind to consequences.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely brief, but this brevity is under-specification rather than conciseness. Every word should earn its place; here, the single phrase adds no information beyond the name, making it insufficient for the agent.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has no parameters, no output schema, and no annotations, the description is the sole source of context. It completely fails to explain what deploying to XO entails, such as deployment source, environment, or expected outcome, leaving a severe information gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Although there are zero parameters, the description fails to add any meaning beyond the schema. With no parameters to document, the description should clarify what the tool does without inputs, but it offers only a tautology, providing no semantic value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Deploy to XO' is a tautology that merely restates the tool name without specifying what action is performed, what resource is deployed, or any context. It fails to use a specific verb+resource structure or distinguish itself from sibling tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus its siblings (e.g., expose_xo_app, start_xo_app). The description provides no context about prerequisites, alternatives, or typical use cases, leaving the agent without any decision support.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/sharmasuraj0123/xo-mcp-server'
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