Prompt Ops MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| promptenhancerA | A prompt optimization tool that guides you through transforming basic prompts into comprehensive, well-structured prompts. How it works:
This tool uses a meta-prompting approach where the LLM does the actual optimization work. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool 'promptenhancer' has a clearly distinct and singular purpose: transforming basic prompts into optimized versions through a guided two-step process.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'promptenhancer' follows a clear and descriptive pattern, combining the target domain ('prompt') with the action ('enhancer'), and there are no other tools to cause inconsistency.
The server has only one tool, which feels thin for a server named 'Prompt Ops MCP' that might imply broader prompt operations. While the tool is well-described, a single tool limits the scope and could indicate incomplete coverage, as agents might expect more functionalities like prompt analysis, validation, or management.
The tool set is severely incomplete for the implied domain of prompt operations. It only offers enhancement via a specific meta-prompting approach, lacking other essential operations such as prompt validation, versioning, comparison, or basic CRUD management. This gap will likely cause agent failures when broader prompt-related tasks are needed.