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flag_lookalike_domain

Check whether a URL or domain matches the official National Medical Commission (NMC) site or is a known lookalike, flagging potential phishing and fraudulent domains.

Instructions

Check whether a link is the official NMC domain or a known lookalike.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
url_or_domainYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteYes
domainYes
is_officialYes
Behavior3/5

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

With no annotations, the description carries the behavioral burden. It does indicate a non-destructive classification action ('Check whether') rather than a mutation. However, it does not clarify whether the check is live, cached, or limited to a built-in list of known lookalikes, leaving the behavior only partially transparent.

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?

The description is a single, front-loaded sentence with no filler or redundancies. Every word contributes to communicating the tool's core purpose, making it easy for an agent to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter tool with an output schema, the description is nearly sufficient: an agent can infer the input and the classification task. It falls short of complete because it omits accepted input formats and any relationship to sibling tools such as check_blacklist.

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

Parameters2/5

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

The sole parameter url_or_domain has 0% schema description coverage, so the description must clarify the expected value. It only paraphrases it as 'link', and never states whether a bare domain, full URL with protocol, path, or subdomain is acceptable. This leaves real format ambiguity.

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 names a specific verb ('Check whether') and a clear resource: the official NMC domain versus known lookalikes. This also distinguishes it from siblings such as search_doctor_registration and get_doctor_profile, which are about registration records rather than URL authenticity.

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

Usage Guidelines2/5

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

The intended use is only implied; the description does not explain when to prefer this tool over a sibling such as check_blacklist, nor does it state when not to use it. There are no explicit scenarios or alternative routing cues.

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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