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smart_money

Analyze any Solana wallet's trading intelligence. Scores wallets 0-100 as Smart Money based on swap history: win rate, profit factor, early-entry ability, consistency, and diversification. Returns per-token trade stats, realized PnL in SOL, best/worst trades, and a human-readable label (Smart Money / Above Average / Average / Below Average). Use to evaluate copy-trade targets, track whale wallets, or assess counterparty skill. Costs $0.05 USDC per call.

Input Schema

NameRequiredDescriptionDefault
walletAddressYesSolana wallet address (base58) to analyze

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden. It discloses the cost ($0.05 USDC per call) and the return format (per-token stats, PnL, best/worst trades, label), which are key behavioral traits. It omits explicit confirmation that the operation is read-only and does not mention rate limits or authentication requirements.

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?

The description is front-loaded with the core purpose and scoring details, followed by return values, use cases, and cost. Each sentence contributes useful information, though the return-value details and use cases could be slightly more compact.

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?

For a complex scoring tool with no output schema and no annotations, the description adequately covers what is returned (per-token stats, PnL, best/worst trades, label) and how the score is computed. It misses some completeness elements like error behavior or wallet eligibility criteria, but overall it provides enough context for an agent to decide to use it.

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 coverage is 100% and the single parameter (walletAddress) is well-described in the schema. The description adds no additional parameter semantics beyond what the schema provides, which is acceptable given the baseline of 3 for fully covered parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Analyze') and resource ('Solana wallet's trading intelligence') and details the scoring mechanism. It is clear what the tool does, but it does not explicitly differentiate itself from siblings like wallet_pnl or top_traders, which also analyze wallet performance.

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?

The description provides clear use-case contexts: 'evaluate copy-trade targets, track whale wallets, or assess counterparty skill.' However, it does not specify when to use this tool versus similar siblings such as wallet_pnl or wallet_profile, nor does it list exclusions.

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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