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Glama

Ipaddress

by io.github.pipeworx-io

Pipeworx Trending

pipeworx_trending
Read-onlyIdempotent

What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice before asking your own question, (3) seeing whether your use case aligns with what most agents need. Self-aggregating signal — derived from CF analytics-engine, no PII, just (pack, tool, count). Cached 5min-1h depending on window.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
windowNo24h (default) | 7d | 30d. Shorter windows surface what's hot right now; longer windows show steady-state demand.

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint. The description adds valuable behavioral details: no PII, aggregated from CF analytics-engine, cached 5min-1h, and self-aggregating nature. No contradictions.

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?

Concise yet comprehensive: opens with the core function, then lists use cases in a bullet-like fashion, and ends with data source and caching details. Every sentence serves a purpose with no redundancy.

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

Completeness5/5

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

For a simple read-only tool with one optional parameter and no output schema, the description covers return contents, window semantics, use cases, data source, privacy, and caching. No gaps remain.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with a single enum parameter. The description adds nuance: 'Shorter windows surface what's hot right now; longer windows show steady-state demand.' This aids selection beyond the schema.

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 it returns trending data (top tools, packs, call volume) over configurable windows. It distinguishes itself from sibling tools by focusing on popularity trends rather than specific searches or profiles.

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?

Three explicit use cases are provided (discovering hot data, confirming canonical tools, aligning use cases). The window parameter description also guides selection between short and long-term trends. No explicit when-not-to-use, but sufficient context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All Ipaddress toolsInspect
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TDQS

A4/5.0
Disambiguation3/5

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.

Naming Consistency5/5

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.

Tool Count2/5

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.

Completeness3/5

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.

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