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buy_yields_token_susds

Paid. Where to earn yield on SUSDS: live pools holding SUSDS across protocols and chains, APY and TVL (DefiLlama data). $0.002 USDC on Base or Solana. No account, no API key. Failed calls not charged. URL https://southpow.media/v1/yields/token/susds.

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_token_susds"
  }
}

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

A3.7/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden and does well: it discloses the paywall price ($0.002 USDC on Base or Solana), that no account or API key is needed, that failed calls are not charged, and the upstream data source. It omits data freshness, rate limits, and result shape beyond the two named metrics, which keeps it out of the top band.

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?

Front-loaded with the paywall marker, then purpose, then pricing and payment mechanics, then URL — a sensible order for a paid endpoint. Slightly redundant with the adjacent 'No account, no API key' and 'Failed calls not charged' fragments, but every clause still carries information.

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 three-optional-parameter read endpoint with no output schema, the description covers what is returned at a high level (pools, APY, TVL) plus the commercial and access conditions an agent needs before spending money. It lacks only response-shape or freshness details, which are minor at this complexity.

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 sort, limit, and min_tvl_usd are already fully documented with defaults and ranges in the schema. The description adds no parameter-level meaning (e.g. what a low min_tvl_usd filter would surface), so the baseline 3 applies.

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 a specific resource (live pools holding SUSDS across protocols and chains) plus the returned fields (APY, TVL) and data source (DefiLlama), which is enough to distinguish it from the many buy_yields_token_* siblings for other tokens. It stops short of explicitly naming the nearest alternatives (buy_yields_stablecoins, buy_yields_chain_*), so it is clear but not fully differentiated.

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?

The intended use is implied clearly by the token-specific framing, but there is no explicit when-to-use versus when-to-use-alternatives guidance, e.g. pointing to buy_yields_stablecoins for cross-stablecoin comparison or to buy_yields_chain_* when the chain, not the token, is the axis of interest. Economics (price, payment rails) are covered, selection guidance is not.

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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