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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
CLAUDE_MODELNoClaude model for responsesanthropic/claude-3.5-sonnet:beta
DEEPSEEK_MODELNoDeepSeek model for reasoningdeepseek/deepseek-r1
OPENROUTER_API_KEYYesOpenRouter API key for both DeepSeek and Claude models

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

NameDescription
generate_responseC

Generate a response using DeepSeek's reasoning and Claude's response generation through OpenRouter.

check_response_statusB

Check the status of a response generation task

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.1/5.0

Scored across 2 tools

Disambiguation5/5

The two tools have clearly distinct purposes: one checks the status of a response generation task, while the other initiates the generation of a response. There is no overlap or ambiguity between these functions, making it easy for an agent to select the correct tool.

Naming Consistency5/5

Both tools follow a consistent verb_noun naming pattern (check_response_status and generate_response), using snake_case throughout. The verbs 'check' and 'generate' appropriately describe their actions, and there are no deviations in style or convention.

Tool Count2/5

With only 2 tools, the server feels thin for its apparent purpose of response generation through OpenRouter. A more complete surface might include tools for managing tasks, handling errors, or configuring parameters, but the current set is minimal and may limit agent workflows.

Completeness2/5

The tool surface is severely incomplete for response generation tasks. While it covers initiating and checking status, it lacks tools for canceling tasks, retrieving results beyond status, handling errors, or managing task history. This will likely cause agent failures in more complex scenarios.

Maintenance

ActivityInactive
ResponsivenessNo issues