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solana_pre_trade

All-in-one Solana pre-trade decision in ONE call: BUY-SAFE/CAUTION/AVOID fusing four scored modules — token security, EXECUTABLE liquidity depth (estimated slippage at $100/$1k/$10k), deployer history/control and holder concentration. Should I buy or avoid this Solana token? Full token due-diligence in one call — replaces 3-4 lookups; built for a trading / sniping agent's risk-review pipeline. Solana trading safety decision and buy/avoid verdict. Price: $0.05 per call (x402 payment, USDC on Base mainnet).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mintYesSPL token mint address (base58) to evaluate before buying

TDQS

A3.7/5.0
Behavior4/5

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

Despite no annotations, the description discloses that the tool fuses four scored modules (token security, liquidity depth with slippage estimates, deployer history, holder concentration) and specifies cost ($0.05 per call via x402 payment on Base mainnet). This provides good behavioral clarity beyond a simple read operation.

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?

Description is front-loaded with key decision types and modules, then ends with cost info. It is informative but slightly verbose; could tighten without losing content. Overall well structured.

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

Completeness2/5

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

No output schema is provided, and the description does not detail the return format or structure (e.g., whether it returns a JSON with scores or just a verdict). For a tool outputting scored modules, this omission leaves the agent with insufficient context to parse the response. Cost and module info are good, but return format is critical.

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 only parameter 'mint' has a schema description that matches the tool's purpose. The description does not add additional semantics beyond the schema, which already defines it as an SPL token mint address. Schema coverage is 100%, so baseline is appropriate.

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?

Description clearly identifies this as an all-in-one Solana pre-trade decision tool producing BUY-SAFE/CAUTION/AVOID verdicts. It specifies the resource (Solana token) and action (evaluate and decide). Distinct from siblings by consolidating four modules into one call.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Description implies usage as a replacement for 3-4 separate lookups and is 'built for a trading/sniping agent's risk-review pipeline.' However, it lacks explicit guidance on when not to use it vs. alternatives like solana_token_safety. Usage context is clear but not exclusive.

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

Most tools have distinct purposes with detailed descriptions. However, there are clusters of similar tools (e.g., multiple token safety and pre-trade verdict tools for different chains) that could cause confusion, though descriptions help differentiate.

Naming Consistency5/5

All tool names follow a consistent pattern of lowercase snake_case with descriptive prefixes (e.g., agent_, crypto_, x402_). No mixing of conventions or ambiguous names.

Tool Count2/5

52 tools is excessive for a single server, covering a wide range of unrelated domains (crypto, legal, climate, transport, etc.). This overwhelms an agent and suggests a lack of focus.

Completeness2/5

The server lacks a coherent domain; it offers one-off tools across many areas but misses fundamental operations for any specific domain (e.g., no company registry for US, no order placement for crypto). Significant gaps exist.

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