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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

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

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
extract_jsonA

Pull a JSON value out of messy LLM output. Tries the whole text, then a fenced json block, then the largest balanced {...}/[...] substring. Returns the parsed value plus which strategy succeeded.

validate_responseA

Validate a parsed JSON value against an agentcast shape spec. Spec maps field name to type: 'string', 'number', 'boolean', 'array', 'object'. Suffix with '?' for optional. Returns valid=true on success, or valid=false with a human-readable error string suitable for retry feedback.

build_retry_promptA

Given an attempt history, produce the retry feedback message agentcast would append to the conversation when the model returned the wrong shape. Codifies the "validation error as feedback" pattern for non-Node MCP clients.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4/5.0

Scored across 3 tools

Disambiguation5/5

Each tool has a clear, distinct purpose: build_retry_prompt handles feedback generation, extract_json extracts JSON from text, and validate_response checks JSON against a spec. There is no functional overlap.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (build_retry_prompt, extract_json, validate_response), making them predictable and easy to understand.

Tool Count4/5

With only 3 tools, the server is slightly underpopulated but still appropriately scoped for the narrow domain of agent response validation and retry feedback. It covers the core workflow without unnecessary bloat.

Completeness4/5

The tools cover the essential pipeline of extracting JSON, validating it against a spec, and generating retry feedback. A minor gap is the lack of explicit handling of attempt history beyond what build_retry_prompt expects, but that is assumed provided by the client.

Maintenance

ActivityInactive
ResponsivenessNo issues