Skip to main content
Glama
vingupta3

E2E Networks Cloud & TIR MCP Server

by vingupta3

e2e_tir_list_training_clusters

List managed Slurm and distributed GPU training clusters in E2E TIR by location or project ID for cloud AI workload management.

Instructions

List managed Slurm / distributed GPU training clusters in E2E TIR.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
locationNoLocation/region code.
project_idNoProject ID.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. 'List' implies a safe read, but the description says nothing about whether location/project_id narrow the results or are optional filters, whether results are paginated, or what permission scope is required.

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?

A single tight sentence with the resource and environment front-loaded and zero filler. Nothing is wasted.

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 two-optional-parameter list tool with no output schema, this is minimally viable: the agent knows what it retrieves. It falls short on filter semantics and result scope, which nothing else in the definition supplies.

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 parameters (location, project_id) are already documented in the schema, giving a baseline of 3. The description adds no meaning beyond that — it does not clarify that these are optional scoping filters.

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?

States a specific verb ('List') and a specific resource ('managed Slurm / distributed GPU training clusters'), scoped to E2E TIR. The resource is distinctive enough to separate it from e2e_list_k8s_clusters or e2e_tir_list_notebooks, though it never names a sibling explicitly.

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?

There is no guidance on when to use this tool versus alternatives, no exclusions, and no prerequisites. The reader must infer from the name alone that this is the discovery step for TIR training clusters.

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