list_platforms
Retrieve a complete list of all registered workflow execution platforms on NGS360.
Instructions
List all registered workflow execution platforms.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve a complete list of all registered workflow execution platforms on NGS360.
List all registered workflow execution platforms.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It discloses that the tool lists all registered platforms, indicating a safe read operation. However, it does not describe the return format or whether results are paginated. For a zero-parameter tool, this is largely adequate.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence that immediately communicates the tool's purpose. No redundant or extraneous content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple list tool with no parameters and no output schema, the description is nearly complete. It could mention that the result is a list of platform objects, but the lack of output schema reduces the necessity. Overall adequate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has no parameters, so no additional semantic information is needed. The description correctly omits parameter details. Baseline score of 4 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('List all registered workflow execution platforms') with a specific verb ('list') and resource ('platforms'). It distinguishes from sibling tools like 'create_platform' or 'get_platform' that have different purposes.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage context (enumerating platforms) but does not explicitly state when to use this tool versus alternatives like 'list_pipelines' or 'get_platform'. No when-not-to-use or exclusion guidance is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/NGS360/mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server