UNO-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 |
|---|---|
| analyze_textC | Analyzes a story page and generates a report with insights |
| enhance_textC | Enhances a story page using all techniques to meet expansion target |
| custom_enhance_textC | Enhances a story page using selected techniques |
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 3 tools
The tools 'custom_enhance_text' and 'enhance_text' have overlapping purposes, both focused on enhancing story pages, with only a vague distinction based on technique selection versus using all techniques. This creates ambiguity where an agent might struggle to choose between them for a given enhancement task. The 'analyze_text' tool is more distinct but the enhancement tools lack clear boundaries.
All tools follow a consistent snake_case naming pattern with a verb_noun structure (e.g., analyze_text, enhance_text). The naming is predictable and readable, with only minor deviation in 'custom_enhance_text' where the adjective 'custom' adds some variation but maintains the overall convention.
With only 3 tools, the server feels thin for a domain like story analysis and enhancement, potentially lacking coverage for broader operations. While it covers basic analyze and enhance functions, the low count may limit agent capabilities in handling more complex workflows or additional CRUD-like actions.
The tool set is severely incomplete for a story analysis and enhancement domain, as it only includes analysis and enhancement without any CRUD operations (e.g., create, update, delete story pages) or lifecycle management. This creates significant gaps that will likely cause agent failures when trying to perform full workflows beyond simple text processing.