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trading_wallet

Set or update your wallet address for trade profit routing. When live trades execute via X711, profits route directly to your wallet — Zambo never holds funds. Supports Solana (base58) and EVM (0x) addresses. CALL FORMAT: trading_wallet({strategy_id: 'strat_abc123', wallet_address: 'Your1SolanaOr0xEvmAddress', email: 'you@example.com'})

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNoChain hint: 'solana' or 'evm'. Auto-detected from address format.
emailNoYour email for ownership verification.
strategy_idYesThe strategy_id to attach this wallet to.
wallet_addressYesYour Solana base58 or EVM 0x wallet address. Profits route here in live mode.

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description provides key behavioral info: 'Zambo never holds funds' and supports Solana/EVM addresses. It also includes a call format. No mention of rate limits or auth, but the security model is clarified.

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 concise but includes a detailed call format example that partially duplicates schema info. The purpose is front-loaded. Minor redundancy but still 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?

For a simple update tool with no output schema, the description covers purpose, usage context, and key behavior. It does not detail return values or side effects, but it is sufficiently complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description adds value by explaining the profit routing context and showing a call format. It reinforces parameter purposes effectively.

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?

The description clearly states the tool's purpose: 'Set or update your wallet address for trade profit routing.' It specifies the action, resource, and distinguishes from sibling trading tools like trading_propose or trading_stats.

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 explains when to use it: 'When live trades execute via X711, profits route directly to your wallet.' It implies usage for initial setup or updates. However, it does not explicitly list alternatives or when not to use it.

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
Disambiguation3/5

Many tools have distinct purposes, but there are several overlapping or redundant tools (e.g., leadsignal vs leadsignal_generate, multiple code audit tools, multiple trading proposal/journal tools, and several 'universal' entry points like zambo_help, zambo_ask, zambo_universal). Descriptions help, but the volume creates ambiguity.

Naming Consistency3/5

Naming conventions vary across prefixes (zambo_, zambot_, axis_, presence_, trading_, etc.), with some tools using single words (weather, translate) and others using verb_noun patterns. Aliases like leadsignal_generate for leadsignal break consistency. While prefixes provide some grouping, the overall pattern is mixed.

Tool Count2/5

125 tools is excessive for a single MCP server, even if the server aims to be a universal stack. This makes it overwhelming for agents to navigate and increases the likelihood of misselection. Many tools could be split into domain-specific servers.

Completeness5/5

The tool surface is extraordinarily comprehensive, covering agent identity, cross-layer orchestration, code analysis, content generation, legal scanning, lead generation, trading, on-chain data, and more. Nearly any common agent task is supported with multiple tools, leaving few obvious gaps.

Resources