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PaulieB14

graph-lending-mcp

get_interest_rates

Read-only

Retrieve current supply and borrow APRs across all markets in a protocol. Filter by lender or borrower side and rate type (variable, stable, or fixed).

Instructions

Current supply and borrow APRs across all markets in a protocol. Optionally filter by side (LENDER/BORROWER) or rate type (VARIABLE/STABLE/FIXED).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sideNoFilter: LENDER (supply APR) or BORROWER (borrow APR)
typeNoFilter by rate type
networkNoNetwork filter. Use these exact values: MAINNET (Ethereum), MATIC (Polygon), ARBITRUM_ONE (Arbitrum), AVALANCHE, BASE, BSC (BNB Chain), OPTIMISM, FANTOM, GNOSIS, BLAST, SCROLL, NEAR, HARMONY, MOONBEAM, MOONRIVER, AURORA, LINEA, ZKSYNC_ERA. Omit to use the default (first) deployment.
protocolYesProtocol registry slug. Must be one of: aave-amm, aave-arc, aave-rwa, aave-v2, aave-v3, abracadabra, alpaca-finance-lending, banker-joe, bastion-protocol, benqi, burrow, compound-v2, compound-v3, cream-finance, dforce, euler-finance, geist-finance, goldfinch, inverse-finance, iron-bank, liquity, makerdao, maple-finance-v1, maple-finance-v2, moonwell, morpho-aave-v2, morpho-aave-v3, morpho-compound, notional-finance, pac-finance, qidao, radiant, rari-fuse, scream, seamless-protocol, seismic, sonne-finance, spark-lend, truefi, uwu-lend, venus, vesta-finance, zerolend
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the description's mention of 'current' rates adds minimal behavioral insight. No details on caching, pagination, or data freshness beyond what annotations imply.

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: first states core purpose, second lists optional filters. No wasted words, front-loaded with essential 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?

Given that there is no output schema and the tool is relatively simple, the description provides sufficient context for an agent to understand the basic functionality. However, it could mention the return structure (e.g., list of markets with APRs) to improve completeness.

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?

Schema descriptions cover 100% of parameters, but the description adds that the result is 'supply and borrow APRs across all markets', which provides context beyond the schema. The description complements the schema well.

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 it returns current supply and borrow APRs across all markets in a protocol, with optional filters. This distinguishes it from sibling tools like get_market (single market) or get_account (user-specific).

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 description indicates optional filters but does not explicitly state when to use this tool versus alternatives like compare_protocols or top_markets_by_tvl. No when-not or alternative guidance is provided.

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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