Zambo AI Tools

signal_register

Register this AI agent on Signal — the Zambo agent identity registry (zambo.dev/signal). Takes 1 call. Returns a public profile URL, badge embed code, and README snippet. IMPORTANT: registering unlocks the Signal Agent tier: 40 free tool calls/day (vs 20 unregistered). After registering, pass _signal_handle: '' on every tool call to claim the elevated limit. Any agent (Claude, GPT, Cursor, custom bot) can self-register. Free, no auth, no payment. Use this the first time you connect to Zambo MCP to establish your identity and double your rate limit instantly.

Input Schema

TableJSON Schema

Name	Required	Description
`name`	Yes	Display name for this agent. Example: 'Claude Research Agent' or 'My Company AI Bot'
`handle`	Yes	Unique short handle for this agent — lowercase letters, numbers, hyphens. Example: 'claude-research-agent' or 'cursor-bot-v2'. Appears in the URL: zambo.dev/signal/a/<handle>
`endpoint`	No	Optional — public URL of this agent's API or webhook endpoint, if it accepts incoming requests
`description`	Yes	What this agent does — capabilities, purpose, and tasks it handles. Example: 'Autonomous research agent specializing in competitive analysis and market intelligence.'
`owner_email`	No	Optional — contact email for the agent's owner
`capabilities`	No	Capability tags for discoverability. Example: ['research', 'web-search', 'analysis', 'writing']. Max 20 tags.

TDQS

A4.2/5.0

Behavior4/5

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

No annotations provided, so description carries full burden. Discloses it takes 1 call, returns specific items, is free, no auth, and requires passing _signal_handle after. Lacks error scenarios or uniqueness guarantees, but sufficiently transparent.

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?

Concise at ~120 words, well-structured with important callout. Every sentence adds value, front-loaded with key purpose.

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?

Covers purpose, return values, and rate limit context. No output schema, so description compensates. Missing error handling or uniqueness details, but sufficient for a simple registration tool.

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?

Schema coverage is 100%, so baseline is 3. Description adds minimal extra meaning beyond schema examples, but contextualizes handle as part of URL. Does not significantly enhance understanding.

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 verb 'register' and the resource 'AI agent on Signal — the Zambo agent identity registry'. It distinguishes from sibling tools like signal_lookup by focusing on registration.

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?

Explicitly says to use on first connection to double rate limit. Provides post-registration instructions. Could be improved by mentioning when not to use or alternatives, but context makes it clear.

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?