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Liquid Agent

Tokenized stock basket

stocks_basket
Read-onlyIdempotent

Free. The on-chain tokenized US stock index on Base (NVDA, META, AAPL, GOOGL): live prices, fees, how to buy from $1.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
feesNoFees
flowNoHow to buy and exit
usdcNoUSDC address
chainNoChain
chainIdNoChain id
factoryNoVault factory address
taglineNoOne-line summary
protocolNoProtocol name
totalVaultsNoVaults created
constituentsNoStocks in the basket with live prices
minDepositUsdcNoMinimum deposit (USDC, 6 decimals)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. The description adds the cost model ('Free') and signals that it returns dynamic live prices and fees, which is useful beyond the annotations, though no auth or rate-limit details are given.

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?

A single, front-loaded sentence that begins with the free cost and then lists the covered topics. It is tight, though the colon-separated list is dense.

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?

With an output schema present and zero parameters, the description does not need to explain return values. It sufficiently conveys the tool's scope for a simple informational endpoint, though it could clarify when to use it over sibling tools.

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

Parameters4/5

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

The tool takes no parameters, so the schema is empty and the baseline is 4. The description appropriately does not invent parameter semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States the tool is about the on-chain tokenized US stock index on Base and enumerates the data it surfaces (live prices, fees, how to buy). The purpose is discernible, but it does not explicitly contrast with siblings like stocks_portfolio or stocks_buy_quote.

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

Usage Guidelines2/5

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

No when-to-use or when-not-to-use guidance is provided. The description does not name alternatives or prerequisites, leaving the agent to infer that this is a general informational endpoint.

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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