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google-ai-history-mcp

google-ai-history-mcp

by travispflanz

Sync Google Ai Chats From Browser

sync_google_ai_chats_from_browser

Sync Google AI chats from Chrome to local storage so you can index and search Gemini, AI Mode, and AI Studio conversations.

Instructions

Sync Google AI chats via Chrome ('all', 'myactivity', 'gemini', 'aimode', 'aistudio').

Input Schema

NameRequiredDescriptionDefault
targetNogemini
max_chatsNo
login_timeout_secNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden and discloses almost nothing. It omits that this drives a Chrome browser session, likely requires an interactive Google login (implied only by the parameter name login_timeout_sec), and says nothing about duration, rate limits, or side effects.

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?

A single short sentence with zero padding, front-loading the action and resource before the option list. It says as much as it can within its limited scope, though the scope itself is thin.

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?

An output schema exists, so return values need not be explained, but a browser-automation sync tool with a login timeout and three undocumented parameters needs more than one line. Nothing explains the interactive-login flow or what the sync actually does to existing data.

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 0%, so the description must compensate. It does add real value by enumerating the accepted target values ('all', 'myactivity', 'gemini', 'aimode', 'aistudio'), but it never says which parameter those map to and leaves max_chats and login_timeout_sec entirely unexplained.

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 specific verb and resource ("Sync Google AI chats via Chrome") and enumerates the target scopes, so the agent knows this pulls chats through a browser. It does not differentiate itself from siblings like import_google_ai_takeout_or_files, which is why it falls short of a 5.

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

Usage Guidelines2/5

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

There is no explicit guidance on when to use this tool versus the import, list, search, or fetch siblings. The target-value list implies supported sources but never states a selection condition or any when-not-to-use case.

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