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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": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
pack_authoring_guideA

Read the pack-authoring guidance. Same text as the asistonto:// resources, for clients that cannot read resources. Topics: pack-format, four-part-questions, paraphrases, calibration, workflow, labels, example, all.

compose_questionA

Assemble one pack question from the four parts, placing each where the retrieval measurements say it belongs: the heading label and the question are indexed, the provenance and the stakes are not. Returns the question object plus what is still missing from it.

parse_meeting_notesA

Parse a corpus document into pack questions. Accepts both shapes the asistonto corpus uses: the four-part blockquote format and the older ### QC-1 <title> headings with numbered sub-questions. Reports which one it read.

check_paraphrasesA

Lint the paraphrases of one question before they go into a pack: count against the measured curve, phrasings that borrow document vocabulary from the provenance, phrasings that fit a sibling question better, duplicates and keywords.

validate_packA

Validate a pack against the schema the live copilot loads, and against what measurement says will under-perform silently. Errors mean it will not load; warnings mean it will load and then quietly do less than it should.

write_packB

Write a pack to a directory: brief.json, paraphrases.json and optionally background.txt and labels.json. Validates first and refuses to write a pack that would fail to load.

read_packB

Read a pack from disk the way the live server does, and validate it. Use this to review or extend a pack that already exists.

render_question_documentA

Render questions back into the four-part markdown a person can read and correct. Keep it next to the pack: the pack is for the machine, this is for the room.

pack_size_floorA

How many questions a pack needs before anything in it can fire, for a given gate. The live gate is a z-score over the pack's own scores, so a small pack has a ceiling below it and stays dark.

Prompts

Interactive templates invoked by user choice

NameDescription
build_pack_for_meetingTurn raw meeting notes or product documents into a loadable asistonto pack.
write_paraphrasesWrite the ten spoken phrasings for one question.
formulate_questionTurn one observation into a question in the four-part format.
review_packReview an existing pack and say what would fail silently.

Resources

Contextual data attached and managed by the client

NameDescription
What a question pack isThe files a pack is made of, and the one rule that decides everything.
The four-part question formatProvenance, observation, question, stakes — and where each part goes.
Writing paraphrasesThe four measured rules for phrasings that actually match speech.
Background, calibration and pack sizeWhy background.txt exists and why a pack needs at least 25 questions.
Building a pack end to endThe six steps from raw meeting notes to a loadable pack.
Measuring a pack afterwardslabels.json, and how to judge emissions honestly.
A worked exampleOne raw note turned into a question and its ten paraphrases.
brief.json schemaJSON Schema for the file the live copilot loads.

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