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List Lium templates

list_templates
Read-only

Docker templates a pod can start from (official ones, your own and other users' public ones; official and yours mark which), for rent_pod template_id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchNoFilter by name or image, e.g. pytorch, vllm

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false, and destructiveHint=false, so the safety profile is covered. The description adds real behavioral value beyond that: it discloses the result scope (official, your own, and other users' public templates) and that official and owned entries are marked in the response, which matters for parsing results. Return format and pagination are still unstated.

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?

One dense sentence with no filler, and the resource is front-loaded. The nested parenthetical makes it slightly harder to parse than a clean two-clause sentence would be.

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?

There is no output schema, but the description compensates by describing what the listing contains and how entries are marked, and the single parameter is schema-documented. Only return shape/format details are missing, which is a minor gap for a simple read-only list.

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% and the single search parameter is fully documented in the schema with examples (pytorch, vllm). The description mentions no parameters at all, so it adds nothing beyond the structured data; baseline 3 applies.

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 the resource concretely (Docker templates a pod can start from) and its scope (official, your own, other users' public), and ties it to the sibling rent_pod's template_id. It lacks an explicit verb in the sentence, relying on the tool name for the action, so it falls short of the crisp verb+resource ideal.

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

Usage Guidelines3/5

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

The phrase 'for rent_pod template_id' implies this is the discovery step that feeds rent_pod, which gives an agent a usable cue. However, it never states when to call this versus not, nor does it mention prerequisites or ordering explicitly.

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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