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flipr_opportunity_subscribe

Subscribe to webhook alerts for Flipr opportunity snapshots. Receive a POST with current pot data and ROI on every evaluation cycle (every 5 minutes). Cost: $0.001 USDC. Accepts payment on Base mainnet OR Solana mainnet (auto-bridged). See http://localhost:4402/integration#solana for details. [paymentNetworks: ["base","solana"]] [pricing: {"cost":"0.001","currency":"USDC","type":"flat","network":"eip155:8453"}]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agentIdYesYour agent identifier
callbackUrlYesURL to receive POST webhook notifications

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 discloses key behavioral traits: POST delivery, payload contents (pot data and ROI), frequency (5 min), cost ($0.001 USDC), and payment network options (Base/Solana via auto-bridge). Does not mention response/return value or error handling, but covers the main operational 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?

Concise and front-loaded with the action, then details. The bracketed lines appear to be structured metadata and the localhost URL slightly clutters, but overall it's efficient.

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?

Given the tool complexity (webhook, payment, multi-network), the description covers the event trigger, payload, cost, payment networks, and a link for details. Lacks explicit return value or idempotency, but is reasonably complete.

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 covers both parameters with descriptions (agentId, callbackUrl). Description adds no extra parameter-specific context, but the baseline for 100% coverage is 3.

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?

Clearly states the action ('Subscribe to webhook alerts for Flipr opportunity snapshots') with a specific verb and resource, and distinguishes from siblings like flipr_opportunity_unsubscribe by describing the subscription behavior.

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?

Describes when the webhook fires (every evaluation cycle, 5 minutes) and the cost model, which implies use case. Does not explicitly exclude alternatives or name sibling tools, but the behavior is clear enough.

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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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.

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