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vingupta3

E2E Networks Cloud & TIR MCP Server

by vingupta3

e2e_list_nodes

List compute nodes in an E2E Cloud project, including VMs and GPU instances, with status, IP addresses, plans, and regions. Filter by project or location.

Instructions

List all compute nodes (virtual machines and GPU instances) in your E2E Cloud project, including status, IP addresses, plans, and regions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
locationNoLocation/region code (e.g. "DEL-1", "NCR-1"). Defaults to configured location.
project_idNoProject ID to filter by. Defaults to configured default project.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

B3.4/5.0
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 burden. It does not mention whether the operation is read-only (though 'List' implies it), does not discuss permissions, rate limits, pagination, or the shape of the response. It also does not clarify that both parameters are optional and what happens if they are omitted (defaults to configured project/location). This is a significant gap for a tool with no 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?

A single sentence listing what is returned, front-loaded with the main verb and resource. It is efficient and earns its place, though it could be slightly more concise by omitting the parenthetical explanation of 'compute nodes' if that detail is elsewhere. Still, the structure is clear and waste-free.

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 list tool with no annotations, no output schema, and two optional parameters, the description is adequate but not thorough. It tells the agent what will be listed but omits behavioral details like pagination, default scope behavior, and read-only nature. An agent would need to infer these from context or trial, leaving notable gaps.

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 the schema already documents both parameters (location and project_id) fully, including defaults and examples. The description adds no additional parameter semantics beyond the schema, which is acceptable given the high coverage. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('List') and resource ('compute nodes (virtual machines and GPU instances)') within the E2E Cloud project, and even names the data fields returned (status, IP addresses, plans, regions). It is clearly distinguishable from siblings like e2e_get_node and e2e_create_node.

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 description implies a read/list operation and the scope is the whole project, which helps differentiate it from e2e_get_node. However, it does not explicitly state when to use this versus e2e_get_node (single node retrieval) or mention that it lists only nodes, not other resources. The guidance is present but implicit.

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