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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.

Schema Changelog

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

  1. Added

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already indicate readOnlyHint, openWorldHint, idempotentHint, and no destructive hint. The description adds valuable behavioral context: data source (CF analytics-engine), privacy (no PII), caching (5min-1h), and the self-aggregating nature. No contradictions with annotations.

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

Conciseness4/5

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

The description is structured with a main sentence followed by bullet-like use cases. It is concise without fluff, though slightly longer than minimal. Every sentence adds value.

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?

Given the simplicity of the tool (1 optional parameter, no output schema, rich annotations), the description provides complete context: purpose, use cases, data source, privacy, caching. No gaps identified.

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?

The input schema has 100% coverage with an enum and description for the 'window' parameter. The description adds context on how shorter vs longer windows affect results ('what's hot right now' vs 'steady-state demand'), which adds meaning 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 the tool returns 'top tools, top packs, and total call volume' with specific time windows. It uses a specific verb ('Returns') and resource ('trending data on Pipeworx'), and distinguishes from siblings by focusing on aggregated trending signal.

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?

The description explicitly lists three use cases (discovering hot data sources, confirming canonical choice, checking alignment). It does not explicitly state when not to use or name alternatives, but the use cases provide clear guidance.

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

C2.9/5.0
Disambiguation2/5

There is heavy overlap among ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, deep_research, bet_research, and polymarket_edges, with several near-duplicate routing/research tools. The Roblox-specific tools are somewhat distinct, but the overall set blurs responsibilities.

Naming Consistency3/5

Most tools follow a snake_case verb_noun pattern, but there are bare noun names like 'user', 'game', 'group', and mixed product-style names like 'pipeworx_trending' and 'generate_llms_txt'. The pattern is not consistently applied across the set.

Tool Count2/5

With 39+ tools, the set is far too large for a Roblox-focused server, and the majority are Pipeworx data/query utilities unrelated to Roblox. A coherent Roblox server would need far fewer, more targeted tools.

Completeness2/5

The Roblox side is thin: it lacks common capabilities like inventory, avatar, marketplace, experience search, and asset details. The Pipeworx side is broad but unrelated, making the overall surface feel incomplete for the stated server purpose.