PromptSmith
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| PYTHONPATH | No | Path to the promptsmith/src directory to ensure modules are properly imported. | |
| UV_LINK_MODE | No | The link mode for uv, typically set to 'copy'. | copy |
| FASTMCP_SHOW_STARTUP_BANNER | No | Whether to show the startup banner for the FastMCP framework. | false |
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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| recommend_strategyB | Analyze a task and recommend the optimal reasoning framework. Returns the detected category, complexity_score, recommended framework, and alternative options. |
| generate_meta_promptC | Generate an optimized meta-prompt for the given task. Analyzes the task, selects the best reasoning framework (or uses the specified one), and generates a structured prompt designed to elicit high-quality reasoning. |
| log_execution_feedbackB | Log feedback about how a generated prompt performed. Used to track effectiveness and improve framework selection over time. |
| list_available_frameworksA | List all available reasoning frameworks with their descriptions. Use this to understand what frameworks are available and when each is best used. |
| get_usage_statsB | Get usage statistics for PromptCore. Shows total prompts generated, distribution by framework and category, and average complexity scores. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| get_recent_logs | Get the most recent reasoning logs. |
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose with no overlap. generate_meta_prompt creates prompts, get_usage_stats retrieves statistics, list_available_frameworks enumerates options, log_execution_feedback captures performance data, and recommend_strategy provides analysis. An agent can easily distinguish between these five distinct functions.
All tools follow a consistent verb_noun pattern with snake_case throughout. The naming is predictable and readable: generate_meta_prompt, get_usage_stats, list_available_frameworks, log_execution_feedback, and recommend_strategy. There are no deviations in style or convention.
With 5 tools, this server is well-scoped for its purpose of prompt generation and management. Each tool earns its place by covering distinct aspects: generation, statistics, listing, feedback, and strategy recommendation. This count is neither too thin nor too heavy for the domain.
The tool surface covers the core lifecycle of prompt generation and optimization well, including creation (generate_meta_prompt), analysis (recommend_strategy), monitoring (get_usage_stats, log_execution_feedback), and discovery (list_available_frameworks). A minor gap is the lack of tools for editing or deleting prompts, but agents can work around this by regenerating prompts as needed.