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zambo_token

Get $ZAMBO token info — Solana community token with a deflationary supply mechanic. Returns contract address, current price, DexScreener/Jupiter/pump.fun links, live burn stats, and holder discount details. Holder perks: $5+ balance → free 24h Zambo Pass once per 7 days. $10+ balance → Zambo Pass drops from $49/mo to $29/mo. action='info' (default) = CA + links + holder perks · action='burns' = live burn stats · action='price' = current price + threshold.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionNoWhat to fetch: 'info' (default) = CA + links + holder deal, 'burns' = live on-chain burn stats, 'price' = current price + token threshold

TDQS

A4.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries full burden. It describes the outputs for each action but does not disclose any behavioral details like rate limits, authentication needs, or side effects. It is likely read-only but this is not explicitly stated.

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 a single paragraph but packs all necessary information without fluff. It is concise but could benefit from slight restructuring (e.g., bullet points) for improved readability by an AI agent.

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

Completeness5/5

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

Despite lacking an output schema, the description fully covers the return values for each action, including specific details like holder perks and links. It leaves no gap in understanding what the tool will provide.

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?

The sole parameter (action) is fully defined in the schema with enum values and descriptions. The description adds meaningful context by detailing what each action returns (e.g., 'live burn stats' for burns), enhancing the schema's minimal description.

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 states the tool retrieves $ZAMBO token info, including specific actions (info, burns, price). It distinguishes itself from many sibling zambo_ tools by focusing on token data with a specific resource and verb.

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?

Description explicitly defines three actions (info, burns, price) and their outputs, providing clear context for when to use each. However, it does not compare to sibling tools or give explicit alternatives, leaving the agent to infer usage from the action definitions.

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.

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