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check_ip

Check whether an IP address is internet background noise or potentially targeted activity, and identify known benign services using the RIOT dataset.

Instructions

Check if an IP address is internet background noise or potentially targeted activity. GreyNoise tracks IPs that mass-scan the internet. If an IP is 'noise', traffic from it is likely untargeted scanning. If it's NOT noise, traffic may be targeted at you specifically. RIOT dataset contains known-good IPs (CDNs, DNS servers, etc.).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ipYesIPv4 address to check (e.g., 8.8.8.8)
Behavior3/5

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

No annotations are provided, so the description bears the full burden. It explains the two classification outcomes (noise vs. targeted, and RIOT good IPs) but does not specify the actual output format, fields, or error behavior. The conceptual outline is helpful but lacks concrete details.

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 concise with four sentences, front-loading the core purpose. Every sentence adds value: it defines the action, explains the background, and clarifies interpretation. No redundant or irrelevant content.

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 simple lookup tool, the description covers the reasoning behind the classification, but it lacks explicit mention of the return format or fields. The existence of a sibling ('check_ips') suggests batch capability is not clarified, which could confuse an agent. The description is adequate but not fully complete.

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?

There is one parameter with 100% schema description coverage (example provided). The tool description adds conceptual context about what the IP is checked against, but does not add new constraints or semantic details beyond the schema. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool checks if an IP is internet background noise or potentially targeted activity, using GreyNoise and RIOT datasets. It provides a specific verb and resource. However, it does not explicitly differentiate from the sibling tool 'check_ips', which likely handles multiple IPs.

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 description explains the context (security analysis, noise vs. targeted) but does not provide explicit guidance on when to use this tool over 'check_ips' or any exclusion criteria. The use case is implied but not directly stated.

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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