Fetch VPC list
get_vpcsList all virtual private clouds (VPCs) associated with your Hostman account.
Instructions
Returns the list of all virtual private clouds (VPCs) for the current user
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_vpcsList all virtual private clouds (VPCs) associated with your Hostman account.
Returns the list of all virtual private clouds (VPCs) for the current user
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description indicates a read-only operation (returns list), but the annotation readOnlyHint is false, creating a contradiction. No other behavioral traits are disclosed beyond annotations.
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?
Single sentence, no wasted words, directly states purpose. Ideal conciseness.
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?
Minimal description is adequate for a simple list tool with no parameters, but it lacks details about output format or any filtering. Given no output schema, more context would be helpful but not critical.
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?
No parameters exist, so schema coverage is 100%. Description adds no parameter information, but none is needed. Baseline 4 for zero-parameter tools.
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 clearly states the tool returns a list of VPCs for the current user, using specific verb 'Returns' and resource 'list of virtual private clouds'. It is unambiguous and distinct from siblings like create_vpc or get_vcs_providers.
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?
No guidance on when to use this tool versus alternatives. No prerequisites, exclusions, or context for selecting this tool over siblings.
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/hostman-cloud/mcp-server'
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