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Normalize an entity name

entity_normalize
Read-onlyIdempotent

Normalize an organization or entity name into a deterministic canonical form and tokens for matching and dedupe. Paid: $0.005 USDC per call via x402 on Base. Calling without payment returns the payment requirement; invalid input is not charged.

Input Schema

NameRequiredDescriptionDefault
nameYesOrganization or entity name, e.g. Acme, Inc.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / name / description
      Added value: +"Organization or entity name, e.g. Acme, Inc."
  2. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), and the description goes well beyond them by disclosing the paid model ($0.005 USDC per call via x402 on Base) and the failure semantics: an unpaid call returns the payment requirement, and invalid input is not charged. It stops short of describing the exact response shape (e.g. how tokens are returned), which keeps it from a 5.

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 sentences, front-loaded with what the tool does, then cost, then edge-case billing behavior. Every sentence adds information an agent needs and nothing is repeated from the schema or annotations.

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?

For a one-parameter, no-output-schema tool, the description covers purpose, cost, and error/charging behavior — enough to invoke it correctly. The only shortfall is the absence of any indication of the returned structure beyond the words 'canonical form and tokens'.

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?

There is a single required parameter with 100% schema description coverage, so the schema already carries the burden; the description adds no syntax detail but its wording ('organization or entity name') is consistent with the schema example. Baseline 4 applies for a one-parameter tool with full coverage.

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 (normalize an organization/entity name) plus the concrete output intent (deterministic canonical form and tokens for matching/dedupe). None of the sibling tools overlap with this, so an agent can select it unambiguously.

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

Usage Guidelines3/5

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

The phrase 'for matching and dedupe' implies the intended use case but never states when to use this versus an alternative or any prerequisite conditions. No sibling covers normalization, so the missing routing guidance is a mild rather than fatal gap.

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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