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aeX402 — Cross-Chain DeFi MCP: LINQ, AMM, Bridge, AI

discover_programs

Discover on-chain programs/contracts across every chain this RPC supports (Solana, Slonana SVM, Robinhood, HyperEVM, Ethereum, Base, Stable, Plasma, Tempo, Codex). Returns a curated seed MERGED with programs/contracts AUTO-DISCOVERED from recent block activity (refreshed hourly) — each carries an activity count of recent invocations/calls; entries with type "discovered" were seen live on-chain but not yet named. Use this to learn what is actually active on-chain right now, then describe_program to introspect any specific address.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNoFilter to one chain: solana | slonana | robinhood | hyperevm | ethereum | base | stable | plasma | tempo | codex. Omit or "all" for every chain.all

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNocaveats about what this scan did and did not see
chainNo
countNo
tokensNotoken contracts seen alongside programs
coverageNowhat this scan did and did not enumerate
programsNo
discoveredNoauto-discovered (not curated) entries

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries full behavioral burden. It discloses the auto-discovery mechanism, hourly refresh, activity count semantics, and that 'discovered' entries are not yet named. It doesn't cover all possible behaviors (e.g., pagination, rate limits), but the disclosed traits are significant and non-obvious.

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?

Two sentences, front-loaded with the purpose, then details. Every sentence adds value: the first identifies the resource and scope, the second explains the merged seed/auto-discovery behavior and usage context. No redundancy or fluff.

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 the tool's complexity (multi-chain, merged seed, hourly refresh, activity counts), the description covers the core semantics well. The output schema handles return details, and the description provides the necessary context for an agent to understand what the tool offers, including the pointer to describe_program for next steps.

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?

Only one parameter (chain) with 100% schema description coverage, so the schema already documents it. The description repeats the chain list but adds no additional parameter semantics beyond what the schema provides, so the baseline 3 applies.

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 discovers on-chain programs/contracts across all supported chains, with a specific verb ('Discover') and resource. It distinguishes itself from siblings by explicitly mentioning the merged curated/discovered nature and pointing to describe_program for introspection.

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?

It explicitly says when to use ('learn what is actually active on-chain right now') and names the alternative tool ('then describe_program to introspect any specific address'). However, it doesn't provide explicit when-not-to-use conditions or exclusions.

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

B3.4/5.0
Disambiguation3/5

Several tool pairs overlap in function: aex402_quote vs aex402_buildSwap, search vs search_tokens vs discover_programs, describe_program vs reconstruct_abi, and mcp_linq vs agent_delegate. Descriptions attempt to differentiate, but boundaries are fuzzy and an agent could easily select the wrong one when uncertain.

Naming Consistency2/5

Naming is inconsistent: some tools use camelCase (aex402_buildSwap) while most use snake_case, verbs vary widely (build, get, list, quote, search, describe, discover, launch, delegate, chat), and there is no uniform verb_noun pattern. This makes predicting tool names difficult.

Tool Count2/5

32 tools is excessive for a single MCP server, exceeding the 25+ threshold. While the scope is broad (AMM, bridge, AI, RPC, discovery, launchpad), many tools could be consolidated (e.g., search tools) or are too fine-grained (multiple solana_get* tools).

Completeness4/5

Core workflows are well covered: AMM (quote/build/get/list), bridge (quote/status), AI (chat/delegate/linq), Solana and EVM RPCs, search/discovery plus health check, launchpad, and payment help. Minor gaps include no direct bridge history or AMM execution, but these are intentional in a non-custodial design.

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