Skip to main content
Glama

list_presets

List runtime presets for deployment and see what each expects. Determine whether static, Node.js, or Python suits your project before launching.

Instructions

List the runtime presets InstaServer can deploy (static/nginx, nodejs, python) and what each expects.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

There are no annotations, so the description carries the burden, and it does communicate read-only informational behavior through 'List' plus the substance of the result ('what each expects'). It does not detail output structure or explicitly state absence of side effects, but for a zero-parameter list tool this is sufficient behavioral disclosure.

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 front-loaded sentence that names the action, scope, and included preset types with no filler. Every word contributes.

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

Completeness5/5

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

With no parameters, no output schema, and a simple informational purpose, the description states what will be returned (available presets and what each expects) and is complete enough for an agent to select and invoke the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so parameter documentation is moot; the description correctly focuses on behavior rather than inputs. Baseline 4 is appropriate for a parameterless tool.

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 names a specific verb ('List'), a specific resource (runtime presets InstaServer can deploy), and enumerates the exact preset types, so an agent can distinguish this from pod/list/file siblings without opening schemas.

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 context of 'can deploy' and 'what each expects' clearly implies this is the reference to consult when choosing a preset before create/deploy operations, but it never explicitly states when to use it versus alternatives or when not to use it. No exclusions are given.

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/CodesbyFebin/instaserver'

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