MCP Prompt Optimizer
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 |
|---|---|
| optimize_promptB | Analyze and optimize a user prompt using the OTA (Optimize-Then-Answer) Framework. Returns clarity score, domain classification, risk flags, targeted questions (if needed), and an enhanced prompt ready for AI processing. |
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's purpose is clearly defined and distinct by default.
A single tool inherently has perfect naming consistency, as there are no other tools to compare it against for patterns or conventions.
One tool is too few for a server named 'MCP Prompt Optimizer', which suggests a broader scope for prompt optimization tasks. A single tool limits functionality and may not cover related operations like prompt analysis, versioning, or comparison.
The tool surface is severely incomplete for the domain of prompt optimization. It lacks essential operations such as analyzing prompts without optimization, comparing multiple prompts, managing prompt history, or handling different optimization strategies, which are typical in this domain.