parse_ipValidate and classify an IP address (IPv4 or IPv6): version, validity, and classification (private/loopback/link-local/multicast/reserved/public). IPv4 also returns its 32-bit integer. Keyless, offline.
| Name | Required | Description | Default |
|---|---|---|---|
| ip | Yes | An IPv4 or IPv6 address, e.g. "192.168.1.10" or "2001:db8::1". |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnly, idempotent, non-destructive. The description adds 'Keyless, offline' and details on output classification, providing extra behavioral context.
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 concise sentences pack key information: validation, classification, return values, and operational characteristics (keyless, offline). No wasted words.
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?
Given the single parameter, no output schema, and clear annotations, the description fully covers what the tool does, what it returns, and that it requires no authentication or network.
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% and the parameter description in schema is sufficient. The tool description adds no additional meaning to the parameter beyond what 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 validates and classifies IP addresses (IPv4/IPv6), specifying version, validity, classification types, and integer return for IPv4. It is distinct from siblings like cidr_info.
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 context with 'Keyless, offline' but does not explicitly state when to use vs alternatives. However, no sibling tool overlaps, and the context is clear.
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.
Many tools serve similar querying purposes (e.g., ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, deep_research) which could confuse an agent. However, detailed descriptions clarify differences, and some tools are very distinct (e.g., CIDR parsing, entity profile). Overlap is moderate but not severe.
Tool names follow a consistent verb_noun pattern (e.g., resolve_entity, validate_claim, list_subscriptions) with underscores separating words. No mixing of styles like camelCase or abbreviations. Naming is clear and predictable.
33 tools is excessive for a single server, covering areas as diverse as IP parsing, AI visibility, Polymarket betting, and SEC filings. This broad scope suggests the server tries to do too much, leading to a heavy and potentially unwieldy tool set.
The tool surface covers many domains (financials, prediction markets, IP tools, memory, subscriptions) but has notable gaps: no update for stored memories, limited subscription management (no modification), and some tools are marked as beta or deprecated. The set feels broad but not deep.