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Validate Applebot IP

validate_ip

Check whether an IP address (IPv4 or IPv6) is a genuine Applebot IP address, verified against Applebot's published IP data on seoapi.com.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ipYesThe IPv4 or IPv6 address to validate

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses that verification is performed against 'Applebot's published IP data on seoapi.com', which implies an external lookup dependency. However, it does not mention potential latency, error handling, or return format, but these are less critical for a simple validation tool.

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, concise sentence that front-loads the purpose. Every word earns its place, and there is no redundant repetition of the tool name or title.

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?

The tool is simple with one parameter, and the schema and description together provide sufficient context. No output schema exists, but the name and description clearly imply a boolean result. The description omits edge cases like invalid IP formats, but for a simple validation tool, this is acceptable.

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?

The schema description for 'ip' already fully covers the parameter ('The IPv4 or IPv6 address to validate'), achieving 100% coverage. The tool description adds context about Applebot but does not add parameter-specific semantics beyond the schema, so baseline 3 is appropriate.

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 clearly states the tool's function: 'Check whether an IP address (IPv4 or IPv6) is a genuine Applebot IP address'. It specifies the resource (IP address) and scope (Applebot) and adds a verification source, distinguishing it from generic IP validation tools.

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?

The description implies usage: use when you need to verify if an IP belongs to Applebot. Since there are no sibling tools, no alternatives are necessary. The context is clear and there are no exclusions, but no explicit 'when not to use' guidance is provided.

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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TDQS

A4.3/5.0
Disambiguation5/5

There is only one tool, so there is no possibility of confusion or overlap. The tool's purpose is unambiguous.

Naming Consistency5/5

The tool name 'validate_ip' follows a clear verb_noun pattern, which is consistent and predictable. Though there is only one tool, the naming convention is appropriate.

Tool Count3/5

With only one tool, the server feels minimal. However, the tool serves a very specific purpose (Applebot IP validation), so the count is borderline rather than excessive or trivial.

Completeness5/5

For the stated purpose of verifying Applebot IP addresses, the tool fully covers the domain. There are no missing operations or gaps in functionality.

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