Skip to main content
Glama

Zambo AI Tools

by dev.zambo

zambot_spark

Generate a cross-domain strategy breakthrough for any goal. ZAMBOT synthesizes swarm intelligence from 100+ MCP tools and returns a Spark — a non-obvious, high-leverage insight with cryptographic proof. Each Spark includes a shareable URL (zambo.dev/spark/). 3 free sparks per 24h per IP. For higher limits use day_pass_activate or Zambo Pass.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
goalYesYour goal or strategic challenge (10–2000 chars). Example: 'Get my SaaS from 0 to 100 paying users in 60 days'
emailNoZambo Pass email for 50 sparks/month, no x402 gate (optional — free tier = 3/day). Get pass: https://zambo.dev/#zambo-pass
contextNoAdditional context about your situation (optional)
current_planNoYour current approach or what you've already tried (optional)

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description fully discloses the tool's behavior: synthesizes swarm intelligence, produces a Spark with cryptographic proof and shareable URL. It also states the free tier limit and alternative access methods, providing transparency without contradictions.

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?

The description is concise (4 sentences), front-loaded with the main action, and includes essential details without redundancy. Every sentence adds value.

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?

Given no output schema and a moderate parameter count, the description fully covers the tool's purpose, input, output (Spark with URL), and constraints (rate limits). It is self-contained and sufficient for an agent to invoke correctly.

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%, but the description adds value by explaining the email parameter's purpose (for Zambo Pass) and providing an example for the goal parameter. Context and current_plan are briefly described but lack deeper semantics.

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 generates a 'cross-domain strategy breakthrough' and returns a 'Spark' with cryptographic proof and shareable URL. It distinguishes itself from sibling zambo* tools by specifying its unique output and synthesis of swarm intelligence.

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?

Describes usage limits (3 free sparks per 24h per IP) and provides guidance for higher limits via day_pass_activate or Zambo Pass. Does not explicitly contrast with sibling tools but gives sufficient context for typical use.

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 toolsInspect
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