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by io.github.aeonmindai
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List OS templates

list_templates
Read-onlyIdempotent

List available OS templates for instances.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_templates"
  }
}

Input Schema

NameRequiredDescriptionDefault
workspaceNoWorkspace ID (optional: defaults to the authenticated workspace)
environmentNoEnvironment name (optional: defaults to the environment this session acts in)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • removedInput schema / properties / env
      Removed value: -{
-  "description": "Environment name (optional — defaults to main)",
-  "type": "string"
-}
    • addedInput schema / properties / environment
      Added value: +{
+  "description": "Environment name (optional: defaults to the environment this session acts in)",
+  "type": "string"
+}
    • changedInput schema / properties / workspace / description
      Previous value: -"Workspace ID (optional — defaults to authenticated workspace)"New value: +"Workspace ID (optional: defaults to the authenticated workspace)"
  2. First observed

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered externally. The description adds no behavioral context beyond the annotations, such as whether templates are filtered by workspace/environment or what the list contains. It does not contradict the annotations.

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 a single short sentence with no wasted words and is front-loaded with the action and resource. It is appropriately sized for a simple list operation, though it is arguably too terse to be maximally useful.

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

Completeness3/5

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

For a simple list tool with two optional, fully documented parameters and no output schema, the description is minimally adequate. It does not explain what the returned templates represent or whether workspace/environment defaults affect the result, but the annotations and schema cover most operational needs.

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 description coverage is 100%, so both optional parameters (workspace and environment) are already documented in the schema. The description adds no additional parameter meaning or filtering semantics beyond what the schema provides, which matches the baseline of 3 for high schema coverage.

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 states a clear verb and resource: 'List available OS templates for instances.' It is easy to distinguish from sibling tools like list_gpu_types and list_storage_regions because the resource is explicitly OS templates. However, it does not explicitly compare itself to adjacent listing tools or clarify scope beyond 'for instances.'

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?

The description gives no explicit when-to-use guidance, prerequisites, or alternatives. Usage is only implied by the name and the phrase 'for instances,' leaving the agent to infer that this should be called when choosing an instance image.

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

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