Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add rules/quinnjr/google-mcp/mcpgit clone --depth 1 https://github.com/quinnjr/google-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/rules/quinnjr/google-mcp/mcp)<a href="https://agentmods.dev/rules/quinnjr/google-mcp/mcp"><img src="https://agentmods.dev/badge/rules/quinnjr/google-mcp/mcp.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.01505 |
| Opus 5 | $0.00000 | $0.00753 |
| Sonnet 5 | $0.00000 | $0.00301 |
| Haiku 4.5 | $0.00000 | $0.00151 |
Grade A, and why
mcp scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 311 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP Server Best Practices
Follow these conventions when developing MCP servers.
Tool Design
Naming Conventions
Use descriptive, action-oriented names with service prefixes:
// Good - clear service prefix and action
"drive_list_files"
"docs_create"
"calendar_get_event"
"gmail_send_message"
// Bad - unclear or inconsistent
"listFiles"
"getDoc"
"sendEmail"
Input Schemas
Always provide comprehensive JSON schemas for tool inputs:
{
name: "calendar_create_event",
description: "Create a new calendar event with title, time, and optional attendees",
inputSchema: {
type: "object",
properties: {
title: {
type: "string",
description: "Event title/summary"
},
startTime: {
type: "string",
description: "Start time in ISO 8601 format (e.g., 2024-01-15T10:00:00Z)"
},
endTime: {
type: "string",
description: "End time in ISO 8601 format"
},
attendees: {
type: "array",
items: { type: "string" },
description: "Email addresses of attendees (optional)"
}
},
required: ["title", "startTime", "endTime"]
}
}
Descriptions
Write clear, actionable descriptions that help the LLM understand:
- What the tool does
- When to use it
- What parameters mean
- What the output contains
// Good
description: "Search for files in Google Drive by name, type, or content. Returns file IDs, names, and metadata. Use this to find files before performing operations on them."
// Bad
description: "Search files"
Error Handling
Return Structured Errors
Always return errors in a consistent format:
if (!this.isAuthenticated()) {
return {
content: [{
type: "text",
text: JSON.stringify({
error: "NotAuthenticated",
message: "Please authenticate first using the google_auth tool",
suggestion: "Run the google_auth tool to start the OAuth flow"
}, null, 2)
}],
isError: true
};
}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 311 lines · 0 tokens per session scan A 8833f42cbb09
mcp is a cursor rule published in the GitHub repository quinnjr/google-mcp (11 stars, last pushed 6d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,505 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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prefer-direct-imports-over-module-mocks
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