reasoning-traces
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| REASONING_MODEL | No | Model slug for OpenRouter or anthropic backend. | deepseek/deepseek-r1-0528 |
| REASONING_EFFORT | No | Effort level: low/medium/high for openrouter, up to xhigh/max for anthropic. | high |
| REASONING_BACKEND | No | Backend to use: openrouter, anthropic, or corethink. | openrouter |
| OPENROUTER_API_KEY | Yes | Required for the default backend (OpenRouter). | |
| REASONING_MAX_TOKENS | No | Output cap for the reasoning call. | 32000 |
| REASONING_MAX_RESULT_CHARS | No | Truncation cap on the tool result. | 32000 |
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": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| deep_reasoningA | Consult a stronger reasoning model and get its full reasoning trace. Call this BEFORE proposing a solution whenever the task involves multi-step reasoning: subtle bugs or race conditions, architectural trade-offs, algorithm design, math, or anything where a first instinct could be wrong. Use the returned trace to guide and cross-check your own answer. The reasoning model cannot see this conversation — pass everything it needs. Args: problem: The question or task, stated precisely. context: Relevant code, error output, logs, or background you have gathered. Include full snippets, not paraphrases. constraints: Hard requirements the solution must satisfy (performance, compatibility, style), if any. |
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 ambiguity. The tool's purpose is clearly defined and distinct from anything else.
The single tool uses a clear, descriptive snake_case name that is consistent within itself and standard for MCP tools.
One tool is below the typical 3-15 range but suits the narrow purpose of providing reasoning traces. It feels thin but not inappropriate.
The tool covers the core functionality of retrieving a reasoning trace with necessary parameters. Minor gaps exist, such as lacking model selection, but it is largely complete for its stated purpose.