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glyphdna_meet_open

Open a verifiable multi-party meeting room with attendee glyph IDs and optional purpose, returning session ID and chain seed for tracking.

Instructions

Open a multi-party verifiable meeting room (phase 26). Args: member_file, attendees (list of glyph_ids), purpose?. Returns sid/topic + chain seed H0.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations exist, so the description carries the full behavioral burden. It discloses that the tool opens a verifiable room and returns sid/topic plus chain seed H0, which is more than a bare name. However, it does not disclose side effects, persistence, permissions, or lifecycle implications such as whether the room must later be closed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single dense sentence that front-loads the core action, then lists arguments, then states the return value. The unexplained '(phase 26)' is a minor distraction and does not earn its place, but otherwise there is no filler or repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, no annotations, and an empty input schema, the description must be nearly self-sufficient, and it is not. It leaves key invocation details unspecified: the format of member_file, the meaning of purpose, how H0 should be interpreted, and whether opening a room has side effects or prerequisites. An agent would still have to guess at important parts of the call.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema is effectively empty (properties: {}, additionalProperties: true), so the description is the only source of parameter semantics. It names three args, marks attendees as a list of glyph_ids, and marks purpose as optional. It does not explain what member_file should contain or what purpose is used for, but it adds substantial meaning over the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb and resource: 'Open a multi-party verifiable meeting room.' It also states what the tool returns (sid/topic + chain seed H0), which clarifies the operation beyond the name. The 'open' action is distinguished from sibling tools like glyphdna_join, glyphdna_meet_say, and glyphdna_meet_close.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied by the verb 'open' and the naming contrast with siblings like 'join'; the description does not explicitly say when to use this tool versus glyphdna_join or glyphdna_meet_close. There is no exclusion guidance, such as 'use join to enter an existing room' or 'use close to end the room.'

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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