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PaulieB14

graph-lending-mcp

query_subgraph

Read-only

Execute raw GraphQL queries on any registered lending subgraph for custom filters, uncommon fields, or exploratory data retrieval.

Instructions

Execute a raw GraphQL query against any registered lending subgraph. Use for custom filters, uncommon fields, or exploratory queries. All subgraphs use the Messari standardized lending schema with entities: lendingProtocols, markets, accounts, positions, deposits, borrows, repays, withdraws, liquidates, flashloans, financialsDailySnapshots, marketDailySnapshots, usageMetricsDailySnapshots.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesA valid GraphQL query string for the Messari lending schema
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
variablesNoOptional GraphQL variables as key-value pairs
Behavior3/5

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

Annotations already indicate read-only and open-world behavior. Description adds schema details but no additional behavioral traits like rate limits or authentication requirements.

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 plus entity list, front-loaded with purpose, no unnecessary words. Highly efficient and well-structured.

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 and open-world annotation, description adequately explains input and schema entities. Could mention return format but not critical for raw query tool.

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?

100% schema coverage means descriptions are complete in schema. Description does not significantly enhance parameter meaning beyond what schema provides.

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 executes raw GraphQL queries against lending subgraphs, specifies purpose for custom filters and exploratory queries, and lists entities, distinguishing it from sibling tools.

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

Usage Guidelines4/5

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

Explicitly mentions when to use it (custom filters, uncommon fields, exploratory queries), but lacks explicit when-not-to-use instructions. Context of sibling tools provides implicit guidance.

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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