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brief-mcp

brief-mcp

by MLDreamer
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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Brief With History

brief_with_history

Generate a pre-meeting brief with attendee history, past meetings, and open action items so recurring calls and follow-ups start with full context.

Instructions

Generate a pre-meeting brief that includes past interaction history.

Combines:

  1. Live calendar lookup + parallel attendee web research (like get_meeting_brief)

  2. Past meeting history for each attendee (from your memory DB)

  3. Previous action items and commitments involving these people

This gives a richer "full context" brief — especially valuable for recurring meetings and follow-up calls.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "brief_with_history"
  }
}

Input Schema

NameRequiredDescriptionDefault
meeting_idNoExact meeting ID from get_upcoming_meetings (takes priority).
meeting_titleNoPartial or full meeting title (Google Calendar).

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.0

TDQS

A4.1/5.0
Behavior4/5

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 the internal pipeline: live calendar lookup, parallel attendee web research, memory-DB history, and prior action items. It hints at latency (parallel research) and data sources, though it does not state read-only status, permissions, or failure behavior.

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?

Front-loads the core action in the first sentence, then uses a numbered breakdown that maps cleanly to its three internal stages. Slightly verbose in the closing sentence, but every part is informative and nothing is wasted.

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

Completeness4/5

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

An output schema exists, so return values need not be explained, and both parameters are covered by the schema. The description adequately conveys what the tool aggregates; only the operational caveats (latency, permissions) are absent, which is a minor gap for a read-style brief generator.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents meeting_id (with priority note) and meeting_title. The description adds no parameter guidance of its own, so the baseline 3 applies.

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?

States a specific verb (Generate) and resource (pre-meeting brief including past interaction history), then explicitly distinguishes itself from the sibling get_meeting_brief by framing itself as the richer superset. An agent can tell exactly what it produces versus the plain brief.

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

Usage Guidelines4/5

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

Gives a clear use condition — 'especially valuable for recurring meetings and follow-up calls' — and references get_meeting_brief as the lighter alternative it builds on. It stops short of an explicit when-not rule (e.g. 'use get_meeting_brief when no history is needed'), so it is strong but not complete routing guidance.

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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