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PaulieB14

graph-lending-mcp

get_daily_financials

Read-only

Access daily financial snapshots for lending protocols: TVL, deposit/borrow/liquidation volumes, and revenue breakdown. Specify protocol, days, and network.

Instructions

Protocol-level daily snapshots: TVL, deposit/borrow/liquidation volume, and revenue breakdown (supply-side vs protocol-side). Returns last N days.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoNumber of days of history (1-365)
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
Behavior4/5

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

Annotations indicate readOnlyHint=true, and the description consistently describes a read-only data retrieval operation. It adds behavioral context by specifying the metrics included (TVL, volumes, revenue breakdown) and the time-series nature (last N days), going beyond the annotation.

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?

The description is a single well-structured sentence that front-loads the core purpose and lists key metrics concisely. Every part adds value, with no wasted words.

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 no output schema, the description explains the nature of the output (daily snapshots with specific metrics) but lacks details on the exact return structure or data formatting. It adequately covers parameters and usage context, falling short only on output shape.

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 all parameters. The description adds minimal extra value beyond what the schema provides, such as implying the 'days' parameter, but the schema already has descriptions. Baseline of 3 is appropriate.

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 protocol-level daily snapshots with specific metrics (TVL, volumes, revenue breakdown), distinguishing it from sibling tools that focus on individual operations like deposits or borrows.

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 implies usage for broad protocol financial overviews over a time range, but does not explicitly state when to use this over alternatives like get_market_snapshots or get_protocol, nor provides 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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