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Ip

ip
Read-onlyIdempotent

IP/netblock allocation record.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ipNoAlias for `address`.
addressNoIP address, e.g. "8.8.8.8". Also accepted as `ip`.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changed
    • removedInput schema / required
      Removed value: -[
      -  "address"
      -]
  2. Changed2 schema fields changed
    • addedInput schema / properties / address / description
      Added value: +"IP address, e.g. \"8.8.8.8\". Also accepted as `ip`."
    • addedInput schema / properties / ip
      Added value: +{
      +  "description": "Alias for `address`.",
      +  "type": "string"
      +}
  3. Changed2 schema fields changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "address": "8.8.8.8"
      +  },
      +  {
      +    "address": "192.0.2.0/24"
      +  }
      +]
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "description": "RDAP IP/netblock allocation record",
      +  "type": "object"
      +}
  4. First observed

TDQS

C2.4/5.0
Behavior2/5

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

Annotations already mark the tool as read-only, idempotent, and non-destructive. The description adds no behavioral context beyond the noun phrase; it does not explain output format, scope, or any side effects. It merely restates the resource type without disclosing additional behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely terse—a single noun phrase—but this is under-specification rather than effective conciseness. It lacks a complete sentence and any functional language that would help an agent act on it.

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

Completeness2/5

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

Despite having an output schema and annotations, the description fails to clarify the tool's core purpose. It does not explain how to invoke it or what kind of 'allocation record' is returned, leaving the agent with an incomplete picture of the tool's functionality.

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 input schema already provides full descriptions for both parameters, including the 'address' field and its alias 'ip'. The description itself adds no parameter-specific meaning, so it does not improve upon the schema's completeness.

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

Purpose3/5

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

The description 'IP/netblock allocation record' names a resource type but lacks an action verb. It vaguely indicates the tool deals with IP addresses or netblocks, but does not clearly state what the tool does, leaving it ambiguous whether it is a lookup, search, or other operation.

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?

No usage guidance is provided. The description gives no indication of when to use this tool versus sibling tools like domain, asn, or nameserver, and does not mention any prerequisites or alternative choices.

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

B3.1/5.0
Disambiguation2/5

The RDAP tools (domain, ip, asn, nameserver, entity) are distinct, but the larger Pipeworx collection creates significant overlap: ask_pipeworx, ask_pipeworx_beta, and ask_pipeworx_grounded are near-duplicates, and the polymarket_* family (edges, arbitrage, edge_tracker, fill_risk, kalshi_spread) has heavily overlapping purposes. ai_visibility_check and scan_competitor_ai_presence also overlap.

Naming Consistency3/5

Most tools use snake_case with a descriptive verb_noun pattern (e.g., ask_pipeworx, discover_tools, recent_changes), but the set mixes short single nouns (domain, ip, asn, entity) with compound names, and there are oddities like generate_llms_txt and ask_pipeworx_grounded that deviate from a clear uniform convention.

Tool Count2/5

At 36 tools, the server is far heavier than expected for an RDAP service. The RDAP core only needs ~5 tools; the rest are an unrelated Pipeworx mega-suite (data queries, prediction markets, memory, subscriptions, feedback) that makes the server feel like a dumping ground rather than a focused toolset.

Completeness4/5

For the RDAP portion, coverage is complete: domain, IP, ASN, nameserver, and entity records are all present. The broader Pipeworx features also cover their own workflows (query, research, comparison, memory CRUD, subscription lifecycle), but the server's stated RDAP identity is muddied by these extras, and some integration points (e.g., no direct update for RDAP data, which is read-only anyway) are inherent limitations.