validate_ipCheck whether an IP address (IPv4 or IPv6) is a genuine Amazonbot IP address, verified against Amazonbot's published IP data on seoapi.com.
| Name | Required | Description | Default |
|---|---|---|---|
| ip | Yes | The IPv4 or IPv6 address to validate |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It adds valuable context by stating the verification source (Amazonbot's published IP data on seoapi.com), indicating the tool performs an external lookup. However, it does not disclose potential latency, rate limits, or what happens on failure.
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?
The description is a single, well-structured sentence that conveys all essential information without extraneous words. It is front-loaded with the core action and provides specificity.
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 simple 1-parameter tool with no output schema, the description tells the purpose and data source. However, it omits what the tool returns (e.g., boolean, status message), which is important for an agent to understand the output.
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?
The input schema has 100% coverage, so the baseline is 3. The tool description repeats that the IP can be IPv4 or IPv6, which is already in the schema's property description. It adds no new meaning about the parameter beyond what the schema provides.
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 function: to check if an IP address is a genuine Amazonbot IP, verified against published data. It specifies IPv4 and IPv6 and the data source, making the purpose unambiguous even without siblings.
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 when to use (when needing to verify an IP against Amazonbot's list), but provides no explicit guidance on when not to use or any prerequisites. No siblings exist to differentiate, so the clarity is adequate but not explicit.
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.
With only one tool, there is no possibility of confusion. The tool's purpose is clear and distinct.
The single tool name follows a clear verb_noun pattern ('validate_ip'), consistent and descriptive.
One tool is appropriate for this narrow, single-purpose operation (IP validation). While a single tool can feel thin, the scope is tightly focused.
The tool fully covers its intended domain: validating an IP address against Amazonbot's published data. No obvious gaps for the stated purpose.