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Name Whisper — ENS Intelligence Layer

cancel_listing

DestructiveIdempotent

Cancel an active ENS name listing by submitting Seaport's cancel() on-chain.

Returns the unsigned Seaport cancel() transaction calldata. Your wallet signs and submits; once mined, Seaport marks the order invalid and no marketplace (NW, Grails, OpenSea) can fulfill it anymore.

Only the original seller (the order's offerer) can cancel. If you cross-posted to OpenSea, you signed a second 'opensea' variant of the listing — pass BOTH order hashes as alsoCancel so a single tx kills both variants atomically.

For cancelling offers you've made as a buyer, use cancel_offer instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
orderHashYesSeaport order hash of the listing to cancel (from get_name_details or the orderbook)
alsoCancelNoSibling order hashes to cancel atomically in the same tx (e.g. the OpenSea-variant counterpart of an NW listing). Seaport.cancel() accepts an array — cancelling N orders costs barely more than cancelling one.
walletAddressYesWallet address of the seller. Must match the original offerer on the order.

TDQS

A4.8/5.0
Behavior5/5

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

Annotations indicate destructiveHint=true and idempotentHint=true. The description adds significant context: it explains that the tool returns unsigned calldata, requires user signing and submission, and that after mining Seaport marks the order invalid. It also details atomic cancellation behavior with alsoCancel. No contradictions with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and well-structured, with a clear opening sentence and practical details in subsequent sentences. While it uses multiple paragraphs, it is front-loaded with the core purpose and avoids unnecessary fluff. Could be slightly more terse but remains effective.

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?

Despite lacking an output schema, the description fully explains the return value (unsigned Seaport cancel() transaction calldata) and covers operational context: prerequisites, on-chain behavior, atomic cancellation, and cross-posting considerations. It is complete for a mutation tool with destructive and idempotent hints.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, providing a baseline of 3. The description adds meaningful context for parameters: orderHash source ('from get_name_details or the orderbook'), alsoCancel purpose ('sibling order hashes to cancel atomically'), and walletAddress constraint ('must match the original offerer'). This elevates it above the baseline.

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 cancels an active ENS name listing via Seaport's cancel() and distinguishes from the sibling tool cancel_offer. It uses specific verbs and resources ('cancel an active ENS name listing', 'submit Seaport's cancel()') and explicitly differentiates from cancel_offer for offers.

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?

The description provides explicit usage guidance: only the original seller can cancel, and for cross-posted listings both order hashes should be passed as alsoCancel. It also directs users to cancel_offer for cancelling offers as a buyer, giving clear when-to-use and when-not-to-use advice.

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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TDQS

A4.3/5.0
Disambiguation4/5

Most tools have clearly distinct purposes with detailed descriptions, but some pairs (e.g., search_ens_names vs enumerate_entities, batch_purchase vs sweep) could cause confusion due to overlapping functionality. The descriptions help differentiate, but the large number of tools increases ambiguity risk.

Naming Consistency5/5

All tool names use consistent snake_case with a verb_noun pattern (e.g., get_name_details, set_ens_records, batch_create_listings). Naming conventions are uniform and predictable, making it easy to infer tool purpose from the name.

Tool Count4/5

With 44 tools, the server is quite comprehensive, covering a wide range of ENS operations. While this exceeds the typical 3-15 tool count, the scope of the domain (marketplace, registration, agent identity, etc.) justifies the number, and tools are well-organized into logical groups.

Completeness5/5

The tool surface covers the full lifecycle of ENS names: registration, renewal, wrapping, transfers, marketplace actions (listings, offers, purchases), record management, subnames, agent identity, and market intelligence. No obvious gaps are present for an ENS intelligence platform.