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rhchain_watch

Robinhood Chain address watcher: register an https callback and we POST to it whenever the address has a new ERC-20 transfer (60s polling, persisted). Agent-infra: stop polling, get pushed. Send { address, callbackUrl }. [x402 paid tool — price $0.01; POST /api/rhchain/watch]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressYes0x address to watch
callbackUrlYesYour https webhook URL

TDQS

A4/5.0
Behavior4/5

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

Discloses polling interval (60s), persistence, push nature, and pricing ($0.01). No annotations exist, so description carries full burden. Lacks error handling details but sufficient for a simple registration tool.

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?

Single concise sentence with essential details and pricing info appended. No unnecessary words, though could be formatted with bullet points for clarity.

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

Completeness3/5

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

No output schema, and description doesn't mention what the tool returns (e.g., confirmation or ID). Adequate for a simple registration tool but missing return value semantics.

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 provides 100% coverage for both parameters. Description adds context (e.g., '0x address', 'your https webhook URL') but essentially restates schema info. Baseline 3 is appropriate as description adds minimal extra 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?

Clearly states the tool registers an HTTPS callback to watch a Robinhood Chain address for new ERC-20 transfers, with polling and push behavior. Distinguishes from sibling rhchain_ tools which focus on queries, not monitoring.

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?

Explicitly says to register a callback and describes polling/push behavior. Mentions 'stop polling, get pushed' as an alternative paradigm, but does not directly compare to specific sibling tools.

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

A3.5/5.0
Disambiguation4/5

Tools are organized by domain prefix (e.g., 'crypto_', 'rh_', 'snipe_'), which helps distinguish between areas. Within each domain, they serve distinct purposes, though some overlap between domains exists (e.g., price data appears in multiple groups). Overall, an agent can navigate effectively.

Naming Consistency5/5

All tool names follow a consistent snake_case pattern with a domain prefix and a verb_noun combination (e.g., 'compliance_risk', 'rh_stock', 'snipe_honeypot'). This makes the API predictable and easy to explore.

Tool Count2/5

With 159 tools, the server is extremely large. While the broad scope of web3 and utility functions justifies many tools, the count is significantly above the typical range for a coherent toolkit, potentially overwhelming agents and increasing selection error.

Completeness4/5

The toolkit covers a wide range of web3 operations: crypto, DeFi, compliance, safety, scheduling, memory, etc. There are no obvious major gaps for its intended purpose, though some niche areas might be missing.