Zambo AI Tools

zambro_analyze

Free, unlimited opportunity scanner with 21 specialized branches. Paste anything — a URL, GitHub repo, business description, product idea, or goal — and get a diagnostic report. Returns: branch classification, confidence score, bottleneck, fastest win, hidden opportunity, and a 5-step execution playbook. No rate limit. No auth.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`input`	Yes	Anything to analyze: URL, wallet address, GitHub repo URL, business description, product idea, or goal (max 2000 chars). Example: 'https://github.com/owner/repo' or 'My SaaS idea: AI code reviewer for solo founders' or 'zambo.dev'

TDQS

A4.4/5.0

Behavior4/5

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

No annotations are provided, so the description fully carries the burden. It explicitly states 'No rate limit. No auth.' and lists the return fields. It does not disclose potential side effects, but the tool appears read-only, which is acceptable.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences: purpose, input types, outputs. Every sentence adds value, front-loaded with the core function. No redundancy.

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?

Given one parameter and no output schema, the description covers inputs and outputs well. It could mention if analysis is real-time, but overall it is self-contained and complete for the tool's simplicity.

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% with one parameter. The description adds concrete examples like 'https://github.com/owner/repo' and 'My SaaS idea...', which go beyond the schema's generic description and help the agent understand valid inputs.

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 it is a 'free, unlimited opportunity scanner' with 21 specialized branches, and specifies the verb 'scan' or 'analyze' on any input. This distinguishes it from sibling tools like code_review or image_analyze which are more specialized.

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 examples of when to use: 'Paste anything — a URL, GitHub repo, business description, product idea, or goal'. It does not explicitly mention when not to use or suggest alternatives, but the context implies it as a general diagnostic tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All Zambo AI Tools tools Inspect

Try in Browser

RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

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

Need Help?