Skip to main content
Glama

list_commitment_reservations

Read-onlyIdempotent

Lists reservations for a Compute Engine Commitment. Returns reservation details including name, ID, status, creation timestamp, specific reservation properties like machine type, guest accelerators and local SSDs, aggregate reservation properties like VM family and reserved resources, commitment and linked commitments, sharing settings, and resource status. Requires project, region, and commitment name as input.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesRequired. Identifier. Name of the commitment to look up reservations for.
regionYesRequired. The region of the commitment.
projectYesRequired. Project ID for this request.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
reservationsNoThe list of reservations.

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the read-only safety profile is covered. The description adds transparency by enumerating the reservation properties returned and explicitly requiring project, region, and commitment name, without introducing contradictions.

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 purpose is front-loaded in the first sentence, followed by useful return-field context and required inputs. The enumeration is somewhat lengthy and overlaps with what the output schema likely provides, but it remains readable and relevant.

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?

All required inputs are identified, the output is characterized, and annotations cover the safety profile, so an agent can invoke this read-only list operation correctly. Still, it does not mention pagination or scale behavior, which would be useful for a list operation, and the return-field list partially duplicates the output schema.

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, including the semantic role of 'name' as the commitment identifier. The description merely restates that project, region, and commitment name are required and adds no new parameter-level semantics beyond the schema.

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 states a specific verb and resource: 'Lists reservations for a Compute Engine Commitment.' The commitment scoping clearly distinguishes it from sibling tools like list_reservations and list_commitments, and the mention of returning reservation details clarifies its role.

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 intended use case is implied: call this when you need reservations belonging to a specific commitment. However, it does not explicitly say when not to use it or point to alternatives such as list_reservations or get_reservation_details, leaving some selection to inference.

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