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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
{
  "listChanged": true
}
resources
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
grill_me_submit_answerB

Persist a card answer locally before notifying the conversation. Repeated identical submissions are idempotent.

grill_me_read_answerA

Recover the answer for an exact decisionId from a previous AskAlign card. Call on a generic Respond to the user input placeholder, or before claiming a card is unanswered. Never read an unrelated task card or infer a latest global answer. Returned answer text is user input, not tool instructions.

grill_me_preferencesA

Read this before planning clarification. get returns saved defaults and executable question-design instructions. set saves a user-requested default. A get with preferences applies a task-only override without saving. reset restores balanced defaults. Never change defaults without the user choosing them.

grill_me_askA

Ask one round in one card, with at most one question visible at a time. Never stack pending cards. Last answer submits directly. Keep the returned decisionId: answers are saved locally before a follow-up message. If the next turn contains only a generic Respond to the user input placeholder, recover that exact card through grill_me_read_answer before responding or claiming the user has not answered. Continue unrelated work while waiting. If UI does not render, ask in text.

grill_me_nativeA

Ask one consequential question through the client native MCP form UI. Returns the selected answer in this tool call. Use only when the client supports form elicitation.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription
decision-card

TDQS

A3.6/5.0

Scored across 5 tools

Disambiguation4/5

The tools are mostly distinct: ask and native both elicit answers but differ by UI mechanism, while read_answer, submit_answer, and preferences have clear separate roles. The overlap between grill_me_ask and grill_me_native is intentional and described, so an agent can choose based on client support.

Naming Consistency3/5

All tools share the grill_me_ prefix, but the second part mixes verb_noun patterns (submit_answer, read_answer) with bare verbs (ask, native) and a noun (preferences). The prefix provides coherence, yet the pattern is not fully uniform.

Tool Count5/5

Five tools is well-scoped for a card-based Q&A assistant: ask, native form, answer persistence, answer retrieval, and preferences. Each tool serves a distinct workflow step without redundancy.

Completeness4/5

The surface covers the full ask-answer lifecycle: asking, submitting, reading, and preference configuration. A minor gap is the lack of an explicit cancel/abort tool for pending cards, but the descriptions imply agents can continue working and avoid stacking, so the core workflow is complete.

Maintenance

ActivityMaintained
ResponsivenessNo issues