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PaulieB14

graph-lending-mcp

get_deposits

Read-only

Get recent deposit events from multiple lending protocols. Optionally filter by market or account for targeted results.

Instructions

Recent deposit events. Optionally filter by market ID and/or account address.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
firstNoNumber of events to return
accountNoAccount address to filter by (0x...)
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
market_idNoMarket contract address to filter by (0x...). Get from get_markets.
Behavior3/5

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

Annotations already declare readOnlyHint=true, indicating a safe read operation. The description adds 'Recent deposit events' but lacks details on ordering, pagination, or time range. With annotations covering the safety profile, the description contributes minimally.

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 immediately states the tool's purpose and key optional filters. No redundant information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

While schema and annotations are good, the description lacks context on what 'recent' means (time range), ordering (e.g., descending by time), and how the 'first' parameter controls pagination. Slightly incomplete for a 5-parameter tool without output schema.

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 coverage is 100% with clear parameter descriptions. The description reiterates optional filtering by market_id and account, but adds no new meaning beyond the schema. Baseline 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 the tool retrieves 'Recent deposit events' with optional filters by market ID and/or account address. It specifies the resource (deposit events) and the actions (list, filter), distinguishing it from sibling tools like get_borrows or get_liquidations.

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 querying deposits with optional filters but does not provide explicit guidance on when to prefer this tool over alternatives. Given multiple sibling tools, more directed usage context would improve selection.

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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