Skip to main content
Glama

Osha

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

A4.4/5.0
Behavior5/5

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

Annotations already declare readOnly, idempotent, and non-destructive. The description adds valuable behavioral context: self-aggregating signal, derived from CF analytics-engine, no PII, and caching behavior (5min-1h). No contradiction.

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, well-structured with bullet points for use cases. Every sentence adds value; no fluff. Front-loaded with the core purpose.

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

Completeness4/5

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

The description covers purpose, usage, and behavior well but lacks details on the output format (e.g., structure of top tools/packs). Given no output schema, a brief mention of return shape would improve completeness. However, the tool is simple and annotations provide safety.

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?

Schema coverage is 100% with enum and description for the only parameter. The description restates the window effect but adds no new semantic meaning beyond what schema provides. Baseline 3 is appropriate.

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. It distinguishes itself from sibling tools like discover_tools and ask_pipeworx by focusing on trending usage data rather than discovery or Q&A.

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?

Explicitly lists three use cases: discovering hot data sources, confirming canonical tools, and aligning use case with agent needs. Lacks explicit when-not-to-use or alternative tool mentions, but the use cases are well-defined.

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

All Osha toolsInspect
Try in Browser
RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.1/5.0
Disambiguation3/5

Several tools have similar purposes, such as the four ask_pipeworx variants and multiple prediction market analysis tools (bet_research, polymarket_edges, polymarket_arbitrage, etc.). While descriptions clarify differences, the overlap could cause misselection by an agent, especially with the high number of specialized market tools.

Naming Consistency4/5

All tool names use snake_case, but the pattern is not fully consistent: some start with verbs (ask_pipeworx, bet_research, compare_entities) while others are noun phrases (entity_profile, recent_alerts, osha_search). This minor inconsistency does not severely hinder readability.

Tool Count3/5

33 tools is on the high side, but the server acts as a comprehensive data gateway covering multiple domains (financials, prediction markets, OSHA, etc.) and includes meta-tools (memory, subscriptions, feedback). The count is justified by the breadth, though it borders on being overwhelming.

Completeness4/5

The tool set covers core workflows: data lookup (ask_pipeworx), entity profiles, comparisons, prediction market analysis, and memory management. There are minor gaps, such as no direct SEC filing retrieval tool (handled via ask_pipeworx), but the overall surface is comprehensive for the server's stated purpose.

Resources