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google-ai-history-mcp

google-ai-history-mcp

by travispflanz

Fetch Google Ai Chat Url

fetch_google_ai_chat_url

Fetches a Google AI chat or session from a pasted URL so you can continue the conversation or build a new project from it.

Instructions

Pull a Google AI chat/session directly from a URL to continue or build from it.

Input Schema

NameRequiredDescriptionDefault
urlYes
login_timeout_secNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full burden. It does not disclose that the operation likely requires an authenticated browser session (only hinted at obliquely by the login_timeout_sec parameter), whether the fetched chat is persisted locally or returned transiently, or what happens if the URL is inaccessible or the login times out.

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

Conciseness3/5

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

One short sentence with no filler, so it is concise and front-loaded. However, the brevity comes at the cost of specification rather than by eliminating redundancy — the second half of the sentence ("to continue or build from it") adds ambiguity instead of information.

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 the definition still omits authentication behavior, URL format expectations, side effects (whether a local record is created), and error conditions. For a two-parameter network-bound fetch tool with zero annotation coverage, this leaves too much for the agent to infer.

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

Parameters2/5

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

Schema description coverage is 0%, and the description does not close the gap. "From a URL" loosely maps to the required url parameter but says nothing about accepted URL formats (share links vs. session URLs), and login_timeout_sec — clearly behaviorally significant at a 45s default — is never mentioned.

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

Purpose3/5

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

"Pull a Google AI chat/session directly from a URL" gives a rough verb+resource, but the verb "pull" is ambiguous (network fetch? import? local copy?) and the trailing "to continue or build from it" muddies rather than sharpens intent. It also never distinguishes itself from the closest siblings get_google_ai_chat (fetch by ID) and sync_google_ai_chats_from_browser, so an agent cannot confidently route between them.

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?

The only usage signal is the prepositional phrase "from a URL," which implies the trigger condition but is never stated as such. There is no when-to-use/when-not guidance, no mention of the alternatives (import from Takeout files, browser sync, list/search/get by ID), and no prerequisites listed.

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