Skip to main content
Glama
G-Core
by G-Core

cloud_insts_resz

Resize a cloud instance by changing its flavor. Provide instance ID, project ID, region ID, and new flavor ID.

Instructions

Change flavor of the instance

Args: flavor_id: Flavor ID

extra_headers: Send extra headers

extra_query: Add additional query parameters to the request

extra_body: Add additional JSON properties to the request

timeout: Override the client-level default timeout for this request, in seconds

Note: Pass the numeric project_id. When a project name is provided, resolve it via cloud.projects.list/cloud.projects.get. If nothing is specified, fetch the account's default project first and use that ID. Pass the numeric region_id. Resolve region names with cloud.regions.list or cloud.regions.get. If no region is mentioned, obtain the default region ID before calling this tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
instance_idYes
project_idYes
region_idYes
flavor_idYes
extra_headersNo
extra_queryNo
extra_bodyNo
timeoutNo
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only mentions 'change flavor' but does not disclose behavioral traits like whether the instance is rebooted, if it's destructive, or if any states are required. This is a significant gap for a mutation tool.

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 structured with a purpose statement, an 'Args' list, and a 'Notes' paragraph. The 'Args' section is redundant as it only lists parameter names without descriptions. Could be more concise by integrating parameter explanations.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (8 parameters, 4 required, no output schema, no annotations), the description lacks crucial context: behavior during resize, prerequisites, error handling, and return value. It is insufficient for an agent to reliably invoke the tool.

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 0%, so the description must compensate. It adds meaning for project_id and region_id (explains resolution), but does not describe instance_id, flavor_id, or the extra_* parameters beyond their names. The notes add some value but are incomplete.

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 'Change flavor of the instance', which is a specific verb+resource. The tool name 'resz' implies resize, distinguishing it from siblings like cloud_insts_upd (update) or cloud_insts_act (action).

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 notes provide guidance on resolving project and region IDs (e.g., pass numeric, resolve names via other tools). However, it does not explicitly state when to use this tool over alternatives like cloud_insts_upd or prerequisites (e.g., instance must be stopped).

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/G-Core/gcore-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server