Skip to main content
Glama

list_instances

Retrieve configured Alopeyk instances to discover available environments, base URLs, and credential status without exposing secrets.

Instructions

List the configured Alopeyk instances (no secrets).

Persian purpose: فهرست نمونه‌های پیکربندی‌شده. Useful for discovering which instance values the other tools accept, which environment each targets, and which credentials/flags are set. Credential values (access_token, email, password, alonomic_token) are NEVER returned — only booleans saying whether they are configured.

Returns: {default_instance, instances: [{name, environment, ondemand_base_url, business_base_url, tracking_url, has_ondemand_credentials, has_alonomic_credentials, alonomic_auth_method, enable_ordering, read_only, ordering_allowed, verify_ssl}]}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

With no annotations provided, the description fully discloses behavior: it never returns credential values, only booleans indicating configuration. It lists the exact fields returned in the output, providing complete transparency.

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 description is concise with a few sentences, includes a Persian purpose that may not be necessary but doesn't harm clarity. It is well-structured with a clear return format.

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?

Given the tool has no parameters and the output schema is described, the description is fully complete for an agent to understand what the tool does and what to expect.

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 has zero parameters, so the schema provides full coverage. The description adds no extra parameter information, which is acceptable at baseline 4.

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 tool lists configured Alopeyk instances and specifies it returns no secrets. It differentiates itself by noting it is useful for discovering which instance values other tools accept, which distinguishes it from siblings like alopeyk_get_config.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly says the tool is 'useful for discovering which instance values the other tools accept', giving a clear usage context. It does not explicitly mention when not to use it or alternatives, but the use case is straightforward and no sibling directly overlaps.

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/dwin-gharibi/alopeyk-mcp'

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