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glyphdna_meet_say

Publish a signed message to a meeting room transcript via MQTT over TLS, using the hash-chain to ensure message integrity.

Instructions

Say something in a meeting room: signs the message against the transcript hash-chain and publishes via MQTT over TLS. Args: member_file, room_id, body (string or object).

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

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full burden and does disclose meaningful behavior: it signs the message against the transcript hash-chain and publishes via MQTT over TLS. Still, it omits potential side effects, prerequisites, auth expectations, and failure behavior, so it is only partially transparent.

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

Conciseness5/5

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

The description is one front-loaded sentence that states the action, the key behavioral trait, and the expected arguments with no filler. Every part adds value.

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

Completeness3/5

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

The description names the key arguments and the core behavioral mechanism, but there is no output schema or annotations, and no explanation of return values, errors, or whether the user must first join/open a meeting. For a tool with this much implied protocol, the description is adequate but not fully complete.

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 schema is empty with additionalProperties true, so the description is the only source of parameter meaning. It names three arguments (member_file, room_id, body) and notes body can be a string or object. However, it does not define expected formats for member_file or room_id, so parameter semantics are useful but incomplete.

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

Purpose4/5

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

The description states a clear verb-resource pair: 'Say something in a meeting room,' and adds distinguishing technical behavior: signing against the transcript hash-chain and publishing via MQTT over TLS. It is reasonably distinct from siblings like glyphdna_mqtt_pub, though it does not explicitly differentiate itself.

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?

The phrase 'Say something in a meeting room' implies when the tool is appropriate, and the signing/MQTT details hint at its niche among sibling tools. However, there is no explicit guidance about when not to use it or what alternatives like glyphdna_mqtt_pub or glyphdna_meet_open are for.

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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