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bulk_set_records

Batch update ENS resolver records for up to 50 names in one transaction. Supports address, text, content hash, and ENSIP-25 agent records with a single multicall.

Instructions

Set ENS resolver records for multiple names in a single transaction — bulk record editing.

All record updates across all names are batched into one resolver.multicall() call. Much cheaper than setting records one name at a time.

Supports the same record types as set_ens_records: address records (ETH, BTC, SOL, etc.), text records (avatar, description, social handles, AI agent metadata), content hash (IPFS/IPNS), and ENSIP-25 agent-registration records.

You can set different records for each name (e.g., unique avatars) or the same records across all names (e.g., same ETH address).

Max 50 names per batch. The wallet signing the transaction must be the owner/manager of all included names.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameRecordsYesArray of name + records pairs. Max 50 names per batch.
walletAddressYesWallet address that owns these names (must sign the transaction)
Behavior4/5

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It discloses that all updates are batched into a single multicall, the max batch size, and that the signer must own/manage all names. However, it does not clarify whether records are merged or fully replaced, nor what happens if any name in the batch is not owned.

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 five well-structured sentences, front-loaded with the main purpose. Each sentence provides distinct value: batching mechanism, cost benefit, record types, flexibility, and constraints. There is no redundancy or filler.

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?

The tool is complex with a nested schema, but the description covers purpose, supported record types, batching behavior, limits, and ownership requirements. The main gap is the lack of information about the return value or transaction outcome, which neither the description nor the schema addresses.

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%, so the baseline is 3. The description adds the useful nuance that you can set different records per name or the same records across all names, which clarifies the nameRecords structure, but it does not significantly extend the schema's already-detailed parameter documentation.

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 sets ENS resolver records for multiple names in a single transaction, distinguishing it from the sibling set_ens_records which handles single names. The phrase 'bulk record editing' and the batching into resolver.multicall() make the specific scope and mechanism obvious.

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

Usage Guidelines5/5

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

It explicitly mentions 'Much cheaper than setting records one name at a time' and references set_ens_records as the alternative, providing a clear when-to-use directive. It also states the 50-name limit and the ownership requirement, which are key constraints for correct usage.

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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