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builder_pass_check

Check whether an email address has an active Zambo Pass or Day Pass. Returns active:true for both. Zambo Pass ($49/mo) includes 100+ MCP tools unlimited: unlimited Zambo API, 50 ZAMBOT Sparks/month, unlimited ZAMBOT Fix, 5 ProvibeCode audits/month, unlimited ZAMBRO scans, LeadSignal Pro, CreditHunt, Signal Passport, Agent World Pro, $10/mo X711 credits, BountyLayer Pro, BaseHawk API (500 calls/day), SubstrateLayer research, Monad intelligence, Weekly AI Digest, Priority Support. Day Pass: same 24h unlimited access. Use before bulk API calls to know actual rate limits. Full spec: GET https://zambo.dev/api/zambo-pass

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesEmail address to check for active Zambo Pass

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries full burden. It discloses the tool is a GET request, returns active:true for both passes, and lists included features. It adds value by explaining the pass types and pointing to a full spec.

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 front-loaded with the core purpose, then adds relevant details about passes and usage. While somewhat lengthy, it is well-structured and each sentence contributes meaning.

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 1-parameter tool without output schema, the description is fairly complete: it describes the action, return value, pass details, usage recommendation, and links to full spec. Minor gaps like error handling are acceptable given the tool's simplicity.

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% with the email parameter already described. The description adds context about passes but does not significantly enhance parameter understanding beyond schema.

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 checks whether an email has an active Zambo Pass or Day Pass. It uses a specific verb (check) and resource (pass), and distinguishes from siblings like day_pass_activate by focusing on status checking.

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 a specific usage scenario: 'Use before bulk API calls to know actual rate limits.' While it doesn't explicitly mention alternatives, it gives clear context for when to use this tool.

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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