Deep analytics for a specific Robinhood Chain pool or token: price, liquidity, 24h volume, FDV, fee tier, estimated fee APR, and 24h price change. Send { address } (pool or token contract). Per-pool due diligence for LP and trading agents. [x402 paid tool — price $0.005; POST /api/rh/pool]
| Name | Required | Description | Default |
|---|---|---|---|
| address | Yes | 0x Robinhood Chain pool or token contract address |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries burden. It discloses paid usage ($0.005) and endpoint, but lacks details on error handling, latency, 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences plus a bracketed note about pricing and endpoint. All information is front-loaded and concise, with no wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has one simple parameter and no output schema, but the description lists the return fields (price, liquidity, volume, etc.), making it complete for an agent to use effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% and parameter description is clear. The description reinforces the same information without adding new meaning beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool provides deep analytics for a specific Robinhood Chain pool or token, listing specific metrics (price, liquidity, volume, FDV, fee tier, APR, price change). This differentiates it from sibling tools like rh_liquidity_map or rh_whale_flow.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly states 'Per-pool due diligence for LP and trading agents', indicating when to use. Does not list alternatives or exclusions, but context is clear.
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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