Skip to main content
Glama

list_instance_attached_disks

Read-onlyIdempotent

Lists the disks attached to a Compute Engine virtual machine (VM) instance. For each attached disk, the response includes details such as kind, type, mode, saved state, source, device name, index, boot, initialize parameters, auto delete, licenses,, interface, guest OS features, disk encryption key, disk size, shielded instance initial state, force attach, and architecture. Requires project, zone, and instance name as input.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesRequired. Identifier. The instance name.
zoneYesRequired. The zone of the instance.
projectYesRequired. Project ID for this request.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
attachedDisksNoThe list of attached disks.

TDQS

B3.4/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds detail about the response fields (e.g., kind, type, mode) which is useful context beyond the annotations. However, it does not disclose any additional behavioral traits such as pagination, rate limits, or authentication requirements. No contradiction exists. With annotations present, the description provides moderate added value.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is informative but somewhat verbose. It front-loads the main purpose and then lists many response fields, which is useful. However, the closing sentence 'Requires project, zone, and instance name as input.' is redundant given the schema's required fields and could be trimmed. Overall, it is structured in a single sentence but includes a lengthy enumeration that could be more concise.

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?

For a read-only list tool with an output schema available, the description is fairly complete. It clearly states the operation, the required inputs, and the nature of the response (listing attached disks with many fields). It does not mention pagination or filtering, but the presence of an output schema likely covers return structure. Given the tool's simplicity and annotation support, no critical information is missing.

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?

The input schema has 100% description coverage for all three required parameters (project, zone, name). The description only restates that these are required, without adding meaning beyond what the schema already provides. Since the schema fully documents each parameter, a baseline of 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?

The description clearly states the specific verb 'Lists' and the resource 'disks attached to a Compute Engine virtual machine (VM) instance'. It distinguishes itself from sibling tools like list_disks and list_instances by focusing on attached disks of a specific instance, making the purpose unambiguous.

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 does not provide explicit guidance on when to use this tool versus alternatives. It only states what it does and mentions required inputs. No exclusions or routing to sibling tools like list_disks or get_instance_basic_info are given, leaving the agent to infer the appropriate context.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.6/5.0
Disambiguation5/5

Each tool targets a distinct resource-action combination. For resources with both basic and detailed getters (reservations, templates), the suffixes clearly differentiate them, and list vs get distinctions are unambiguous. No two tools appear to do the same thing.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern with snake_case (e.g., create_instance, list_disks, get_zone_operation). Getters consistently use descriptive suffixes like basic_info, details, or properties. No mixed naming conventions or vague verbs.

Tool Count4/5

29 tools is slightly above the ideal range but justified given the breadth of Google Compute Engine resources covered (instances, disks, templates, reservations, commitments, MIGs, snapshots, images, machine types, accelerator types). Each tool serves a specific purpose and contributes to the overall scope.

Completeness2/5

The toolset is heavily read-oriented. While instances have full lifecycle coverage (create, delete, start, stop, reset, set machine type), most other resources lack write operations: disks, templates, reservations, commitments, snapshots, and MIGs only have get/list tools. This creates dead ends for agents needing to create or modify these resources, which is a significant gap for a GCE management server.

Resources