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buy_yields_protocol_fluid-lite

Paid. Live DeFi yields for fluid-lite: its pools across chains with APY, TVL, 7d APY change (DefiLlama data). $0.005 USDC on Base or Solana. No account, no API key. Failed calls not charged. URL https://southpow.media/v1/yields/protocol/fluid-lite.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "buy_yields_protocol_fluid-lite"
  }
}

Input Schema

NameRequiredDescriptionDefault
sortNotvl (default) or apy
limitNoRows, 1-100 (default 20)
min_tvl_usdNoMinimum pool TVL in USD (default 100000)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses that the call is paid ($0.005 USDC on Base or Solana), requires no account or API key, that failed calls are not charged, and that data is DefiLlama-sourced. It still leaves out response shape, rate limits, and what a 'pool row' looks like, which is expected given there is no output schema.

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?

Extremely dense: the payment/monetization fact is front-loaded as 'Paid.', then purpose, then data fields, then pricing and access terms, then endpoint. No filler sentences, though the staccato fragments make it read like a spec sheet rather than prose.

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 read-only data-fetch tool with three optional params and no output schema, the description covers what is returned, cost, auth, billing behavior on failure, and the endpoint. The remaining gap is the exact response structure or row count semantics, which is minor given the limited parameter surface.

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 description coverage is 100%, so the schema already documents sort, limit, and min_tvl_usd including defaults and ranges. The description adds nothing about parameter meaning or interaction, so this sits at the baseline for fully documented schemas.

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?

States a specific verb and resource: live DeFi yields for the fluid-lite protocol, its pools across chains, with the exact fields returned (APY, TVL, 7d APY change) and the underlying source (DefiLlama). An agent can tell this is the fluid-lite protocol-level yield feed rather than a chain feed or a sibling protocol like fluid-dex or fluid-lending.

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

Usage Guidelines3/5

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

Usage is implied by the scoping to 'fluid-lite' and by 'Paid', but the description never says when to pick this over the many sibling alternatives such as buy_yields_protocol_fluid-dex, buy_yields_protocol_fluid-lending, or buy_yields_chain_base. No exclusions or prerequisites beyond the cost line are given.

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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