Standardize US state/province names to full name plus abbreviation. Handles 'Calif', 'CA', 'Cal' -> 'California' / 'CA'. Cost: $0.01 USDC via x402.
| Name | Required | Description | Default |
|---|---|---|---|
| state | Yes | State or province name/abbreviation | |
| algorithm | No | Algorithm variant (optional) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds the cost ($0.01 USDC via x402) as a behavioral trait beyond annotations. However, annotations indicate destructiveHint=true and openWorldHint=true, but the description does not elaborate on what destructive means or other side effects. The cost information is helpful but limited.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two efficient sentences: first defines purpose and behavior, second gives examples and cost. No filler or repetition. Front-loaded and easily scannable.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a 2-param tool with no output schema, the description covers purpose, example transformations, and cost. It lacks details on output format (though implied by example) and error handling. Given simplicity, it is mostly complete but could specify the output structure more explicitly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% (both parameters documented). The description adds value for the 'state' parameter by providing input examples and normalizing behavior. However, the optional 'algorithm' parameter is not explained, so the description improves understanding but is incomplete for that param.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: standardize US state/province names to full name plus abbreviation. It provides concrete examples (e.g., 'Calif', 'CA', 'Cal' -> 'California' / 'CA'), and the tool is distinct from siblings which focus on addresses, matching, etc.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for standardizing US state/province names but does not explicitly guide when to use this tool vs the many siblings. There is no mention of alternatives or exclusions, leaving the agent to infer context from sibling names.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools target distinct data operations (matching, standardization, enrichment) with clear descriptions. Minor overlaps exist, e.g., address_match_advanced vs global_address_match, but descriptions differentiate them.
All tools follow a consistent 'interzoid_descriptive_function' pattern in snake_case, making it easy to predict purpose from the name.
58 tools is high for a single server, exceeding the typical 3-15 range. While each serves a specific data enrichment function, the quantity may overwhelm agents without clear categorization.
The tool surface covers a broad domain including address, company, person, and financial data. Minor gaps exist (e.g., no reverse IP lookup, limited social media coverage), but core data needs are well-addressed.
