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bridge-watch on-chain intelligence

get_label

Read-only

Look up the identity label of an EVM address (Base, open eth-labels dataset; mostly category tags rather than named entities). Returns which entity the address belongs to; unlabelled addresses return null. Call with no arguments for a free demo result.

Input Schema

NameRequiredDescriptionDefault
addressNo0x-prefixed address. Omit it to run a free demo lookup (USDC contract on Base), e.g. 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / address / description
      Previous value: -"0x 开头的地址,如 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913"New value: +"0x-prefixed address. Omit it to run a free demo lookup (USDC contract on Base), e.g. 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913"
    • removedInput schema / required
      Removed value: -[
      -  "address"
      -]
  2. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false; the description adds real context beyond that: data provenance (open eth-labels dataset), coverage limitations (mostly category tags), null-return semantics for unlabelled addresses, and a free demo path. It does not discuss rate limits or the paid-tier boundary hinted at by the list_paid_endpoints sibling.

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?

Three compact sentences, front-loaded with what the tool does and followed by the return contract and the demo shortcut. No filler and every clause carries usable 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?

There is no output schema, so the description carries the return-value burden and does so: it states the address resolves to an entity or null. Combined with the dataset scoping and the no-arg demo, an agent has everything needed to call 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 description coverage is 100% and the single parameter is fully documented, including the no-argument demo behavior, so the description is not required to carry parameter meaning. It restates the same omit-for-demo behavior without adding format or syntax detail beyond the schema, so the baseline 3 applies.

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?

States a specific verb and resource ('Look up the identity label of an EVM address') and immediately scopes it to Base and the open eth-labels dataset. The caveat that it is 'mostly category tags rather than named entities' prevents an agent from over-expecting named-entity resolution, and no sibling tool overlaps this function.

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?

Gives clear context for use: call it to find which entity an address belongs to, expect null for unlabelled addresses, and call with no arguments for a free demo. It does not name alternatives or explicitly state when not to use it (e.g., other chains), which keeps it short of a 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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