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monad_pulse

Live Monad mainnet network stats via NadCity. Returns: current TPS, peak TPS (24h), active wallets right now, 24h volume in MON, current block number, average block time (ms), total contracts tracked, new contracts deployed today, and WebSocket connection status. Cached 30 seconds. Free, no auth. Use before any on-chain Monad action to check network health. If avgBlockTimeMs > 500 or wsConnected is false, the network is under stress. Note: Zambo MCP users automatically get a NadCity API key (10k req/day free, 100k/day on Day Pass, unlimited on Zambo Pass). Retrieve it at: GET https://zambo.dev/api/nadcity/key?email=you@example.com — use as X-Api-Key for direct NadCity API calls.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 carries the full burden. It discloses caching behavior ('Cached 30 seconds'), authentication ('Free, no auth'), and all returned fields. It also mentions API key retrieval for direct calls, which adds useful context. Minor omission: no mention of rate limits or potential throttling.

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 slightly verbose (5 sentences) but well-structured: it front-loads the purpose and key metrics, then provides caching and auth info, then usage guidance, and finally API key retrieval details. The API key info could be considered secondary but is relevant for power users.

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 it has no parameters and no output schema, the description covers all necessary context: what the tool returns, how to interpret results, caching behavior, authentication, and even the threshold for network stress. It is entirely self-contained and leaves no ambiguity.

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?

The input schema has zero parameters with 100% schema description coverage, so baseline is 3. The description does not need to add parameter information. It correctly refrains from repeating what the schema already conveys.

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 'Live Monad mainnet network stats via NadCity' and lists specific metrics. It distinguishes from siblings by focusing on a specific niche (Monad network health) and explicitly states the use case. While 'monad_city' is a sibling, the description's specificity makes the purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly states when to use: 'Use before any on-chain Monad action to check network health.' It provides actionable thresholds: 'If avgBlockTimeMs > 500 or wsConnected is false, the network is under stress.' This gives clear guidance on interpretation and usage context.

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.

Resources