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Wallet Batch Labels

wallet_batch_labels
Read-onlyIdempotent

Bulk label + 30d summary lookup for many addresses in one call. Caps at 100 addresses. Returns one row per input address in input order, with: entity, wallet_type, risk_flag, 30d net flow, 30d volume, 30d tx count, read from chain's own tables. The 30d fields are live and null only for an address with no label (found: false). A row whose address source provider_e knows also carries provider_e: a list of that source's labels (the same entries wallet_label_provenance returns for source='provider_e'), on any chain; it never changes entity, wallet_type or found. Use when the user pastes a CSV of addresses or asks to enrich a list.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "addresses": "<addresses>"
    },
    "name": "wallet_batch_labels"
  }
}

Input Schema

NameRequiredDescriptionDefault
chainNoChain (default ethereum)ethereum
addressesYesWallet addresses (0x-prefixed). Max 100.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Annotations already cover safety traits, and the description adds substantial behavioral detail beyond them: the 100-address cap, row ordering, null behavior for unlabeled addresses, live 30d fields, and the provider_e enrichment rule that never changes entity, wallet_type, or found.

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 dense but front-loaded, with the core purpose stated first and no filler. The final usage sentence could be positioned earlier for faster routing, but overall every sentence contributes relevant information.

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 adequately explains the return shape, row ordering, null cases, and the provider_e enrichment behavior. Combined with annotations and a fully documented schema, an agent has enough information to invoke it correctly.

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 schema already documents both parameters. The description adds some meaningful context ('read from chain's own tables' and provider_e entries on any chain), but most of the extra detail concerns output behavior rather than parameter semantics.

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 opens with a specific verb and resource: 'Bulk label + 30d summary lookup for many addresses in one call.' It clearly distinguishes the batch scope from single-address siblings and names the exact result fields returned.

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?

It gives a concrete trigger: 'Use when the user pastes a CSV of addresses or asks to enrich a list.' It also clarifies the narrower relationship to wallet_label_provenance, though it does not explicitly compare against every relevant sibling such as wallet_summary or hl_wallet.

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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