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Nist Standards

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

A4.8/5.0
Behavior5/5

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

The description adds value beyond annotations by disclosing data source (CF analytics-engine), privacy (no PII), and caching behavior (5min-1h). No contradictions with annotations (readOnlyHint, openWorldHint, idempotentHint, destructiveHint all consistent).

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?

Three sentences, front-loaded with purpose, no redundant words. Every sentence earns its place.

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?

Despite having no output schema, the description adequately explains return types (top tools, packs, volume) and provides sufficient context for a low-complexity tool with comprehensive annotations.

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

Parameters5/5

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

The schema fully covers the single parameter 'window' with enum and description. The description adds context: shorter windows for 'what's hot right now' vs longer for 'steady-state demand', enriching the schema's meaning.

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' over a recent window, using a specific verb and resource. It distinguishes itself from sibling tools by focusing on aggregated trending data.

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, covering discovery, confirmation, and alignment. However, no exclusions or alternatives are mentioned, leaving some ambiguity for an agent deciding between similar tools.

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

All Nist Standards toolsInspect
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TDQS

A4/5.0
Disambiguation3/5

Most tools have distinct purposes, but several clusters overlap: ask_pipeworx_beta is currently identical to ask_pipeworx, polymarket_arbitrage and polymarket_edges both surface arbitrage opportunities, and validate_claim overlaps with ask_pipeworx_grounded. Descriptions mitigate some confusion, but selection errors are still likely.

Naming Consistency4/5

Names are overwhelmingly lowercase snake_case and descriptive, such as nist_control_family, polymarket_fill_risk, and list_subscriptions. Minor deviations exist with single-word memory verbs like remember/recall/forget and the ask_pipeworx_* variants, but the overall pattern is predictable and readable.

Tool Count2/5

34 tools is well above the comfortable range and includes many tools unrelated to the server's NIST Standards name, such as Polymarket betting, npm dependency scanning, AI visibility checks, and llms.txt generation. The set feels like a broad general-purpose data platform rather than a scoped NIST reference server.

Completeness3/5

For the NIST domain, the three control tools provide id lookup, family listing, and keyword search, but there is no catalog overview or family enumeration, and no comparison, revision, or export capability. The other 31 tools do not fill those gaps, so the NIST surface is functional but not fully complete for compliance workflows.

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