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Get user rewards

get_user_rewards
Read-only

A wallet's claimable Aave rewards on v3, v4, or both. Covers incentive programmes distributed through Merit as well as the protocol's own, so a GHO or sGHO incentive shows up here rather than anywhere separate. Omit chainId and both versions cover every chain they serve, stating which under 'chainsCovered' and tagging each row with its own chainId. 'chainsNotServed', when present, lists chains this API holds no market on: Aave supports the chain, there is nothing here to read, so an empty result for one of them is not an answer about that chain, and asking again returns the same nothing. On v3 the response also carries the transaction that claims them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
userYesWallet address, 0x-prefixed (40 hex chars).
chainIdNoChain id to restrict to, e.g. 1 for Ethereum. Omit the argument entirely to cover every chain.
versionNoProtocol version (default all).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Annotations already mark it read-only and non-destructive, and the description adds meaningful behavior beyond that: it covers both Merit-distributed and protocol-native incentives, explains chainsNotServed semantics, notes that repeated queries on unsupported chains return the same empty result, and calls out the extra claim transaction on v3 responses. This is substantial non-obvious context.

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 dense but front-loaded with the core purpose, followed by high-value edge-case guidance. Each sentence adds distinct information, and no filler or restatement of the name appears.

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

Completeness5/5

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

With no output schema, the description nevertheless conveys the key return semantics: chain coverage fields, per-row chain IDs, unsupported-chain behavior, and the v3 transaction addition. It gives an agent enough context to call the tool correctly and interpret ambiguous empty results.

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?

Input schema coverage is 100%, so all three parameters are already documented. The description restates the omit-chainId behavior and default all version already present in the schema, and the main added value is response-shape context (chainsCovered, per-row chainId, v3 transaction) rather than new parameter meaning.

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 opening sentence identifies the tool as returning a wallet's claimable Aave rewards on v3, v4, or both, with a specific noun-verb-resource structure. It also states which incentive programmes are included, distinguishing this read tool from reward-related actions like prepare_claim_rewards.

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?

The description gives concrete invocation guidance: omit chainId to cover all chains, interpret chainsNotServed as unsupported chains, and treat empty results there as non-answers. It does not explicitly name alternative tools or state when not to use it, so it stops short of a full 5.

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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