Zambo AI Tools

capability_rent

Temporarily elevate your agent to a higher-capability tier by renting a premium capability for a fixed window. Pay in $ZAMBO (burned on-chain) — no subscriptions, no lock-in, auto-expires. Capabilities: research_deep (50 $ZAMBO/h — extended synthesis), code_expert (75 $ZAMBO/h — full codebase analysis), swarm_full (100 $ZAMBO/h — unlimited swarm spawns), creative_max (50 $ZAMBO/h — image+video+brand kit). Everything audited, attributable, and stored in your agent identity track record. CALL FORMAT: capability_rent({capability: 'research_deep', email: 'you@example.com'}). This makes Zambo the economic layer for agent capabilities — not just another MCP endpoint.

Input Schema

TableJSON Schema

Name	Required	Description
`email`	No	Your email — ties the capability grant to your agent identity and tracks usage.
`capability`	Yes	Which capability to rent. research_deep=50 $ZAMBO/h, code_expert=75 $ZAMBO/h, swarm_full=100 $ZAMBO/h, creative_max=50 $ZAMBO/h.
`duration_hours`	No	Rental duration in hours. Default: 1. Max: 8.

TDQS

A4.2/5.0

Behavior4/5

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

Discloses on-chain payment, auto-expiry, auditability, and attribution. No annotations provided, so description carries full burden. Lacks details on what happens on expiry, but overall good.

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

Conciseness3/5

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

Contains some marketing fluff ('This makes Zambo the economic layer...') but effectively front-loads purpose and usage. Could be more concise without losing essential info.

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

Completeness3/5

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

Covers most aspects but omits return value or confirmation message. Since no output schema exists, a brief description of what the tool returns would improve completeness. Otherwise adequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Adds significant value beyond the input schema: pricing per capability, default duration (1 hour), max duration (8 hours), and call format example. Schema coverage is 100%, and description enhances usability.

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 'rent' and the resource 'capability', listing specific capabilities. It distinguishes from sibling tools like capability_search, which is for searching rather than renting.

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?

Provides clear context for when to use (temporary elevation) and how (payment in $ZAMBO, auto-expires). Includes example call format. Does not explicitly state when not to use or list alternatives, but coverage is strong.

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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