Skip to main content
Glama

flipr_referral_link

Get your agent's shareable Flipr referral URL. Returns: the canonical share URL (https://flipr.base.app/?ref=) that humans visit to land on flipr.base.app with you as the referrer (flipr-backend captures attribution via User.referredBy on conversion). Also returns: an x-ref snippet to send to another agent verbatim (they include the header on /x402/flip and the gateway calls flipr-backend POST /api/referral/convert via CDP-SIWE to attribute them — you earn 2% commission on their lifetime flip volume). Call this once and cache the response. The URL is stable for the lifetime of your agentId. FREE — rate-limited only. [pricing: {"cost":"0","currency":"FREE","type":"free","network":"eip155:8453"}]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agentIdYesYour agent identifier

TDQS

A4.5/5.0
Behavior5/5

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

Even without annotations, the description discloses the stable nature of the URL, free rate-limited pricing, attribution mechanism, and exactly what is returned (canonical URL and x-ref snippet). It clearly implies a non-destructive read operation with no 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?

The description is dense but efficient, covering purpose, return values, usage, and pricing in a few sentences without wasted words. Each sentence earns its place, and the key information is front-loaded.

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

Completeness5/5

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

The description fully covers what the agent needs to know: how to get the URL, what it looks like, how the x-ref works, and the caching guidance. No output schema is provided, so the description effectively explains the return values and usage context.

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?

The schema has 100% coverage with a description for agentId, so the description does not need to add more. The tool description doesn't elaborate on the parameter, but the existing schema is sufficient, and the description adds no additional parameter-specific meaning.

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?

The description clearly states 'Get your agent's shareable Flipr referral URL' and goes on to describe both the canonical URL and x-ref snippet, making it distinct from sibling referral tools such as stats, leaderboard, and payout tools.

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?

It provides clear usage context: call once and cache, send the x-ref snippet to another agent verbatim, and notes that the URL is stable. However, it does not explicitly mention when not to use this tool in favor of other referral tools, though the purpose itself implies the alternative.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct aspect of the Flipr ecosystem: game info, health/status, flipping action, pot/opportunity monitoring, agent stats, referral program, and withdrawal. No two tools have overlapping purposes; even similar-sounding ones like flipr_opportunity and flipr_pot are clearly differentiated by ROI analysis.

Naming Consistency5/5

All tool names follow a consistent 'flipr_<noun>' snake_case pattern (e.g., flipr_agent_stats, flipr_flip). The naming is predictable and intuitive, making it easy for an agent to understand the hierarchy of operations.

Tool Count5/5

With 18 tools, the server covers the full scope of a betting game with referral features. Each tool serves a clear role without bloat. The count feels well-scoped for the domain, neither too sparse nor overwhelming.

Completeness4/5

The tool surface covers core gameplay (flip, health, game info), opportunity analysis (pot, opportunity, history, subscription), agent/referral management, and payout. A minor gap is the lack of a tool to retrieve an agent's own flip history beyond aggregated stats, but this does not hinder primary use cases.

Resources