Skip to main content
Glama

Denue

by io.github.pipeworx-io

What Can I Ask Pipeworx?

suggest_questions
Read-onlyIdempotent

What can I ask Pipeworx? / what is Pipeworx good for? / what can you do? / give me ideas / show me examples / getting started / what data do you have? — the onboarding entry point for an agent that just connected and wants to know what is worth asking. Returns category-bucketed example questions (company financials, drugs & clinical trials, economics, real estate, prediction markets, weather, government & patents, science & academia, news) — each with the exact tool + argument shape that answers it, drawn from the live catalog of thousands of tools. Call with no arguments for the full spread, or pass topic (e.g. "finance", "pharma", "betting") to focus. Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools (ask_pipeworx, entity_profile, compare_entities, etc.).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicNoOptional focus area: finance | pharma | economics | real-estate | betting | weather | government | science | news. Omit for a cross-category spread.

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already indicate safety (readOnly, idempotent, non-destructive). Description adds value by disclosing the return format (category-bucketed examples with tool/argument shapes) and that calling with no arguments gives full spread. 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.

Conciseness4/5

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

The description is front-loaded with the purpose and uses a clear structure: opening phrases, explanation of output, usage options. It is slightly verbose with example categories but remains well-organized and scannable.

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 tool with one optional parameter and no output schema, the description covers all necessary context: purpose, output format, optional focus, and when to use. 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% and describes the optional 'topic' parameter with allowed values. Description reinforces by listing examples ('finance', 'pharma') and clarifies behavior when omitted, adding practical usage context.

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 uses specific verbs ('returns category-bucketed example questions') and clearly identifies the tool as the onboarding entry point. It distinguishes from siblings like 'ask_pipeworx' by focusing on generating ideas rather than answering specific queries.

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 advises 'Use this FIRST when you do not yet know what Pipeworx can do for you' and explains optional topic filtering. While it doesn't list alternatives for when not to use, the context implies it's for exploration, not direct answers.

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

All Denue 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

A4/5.0
Disambiguation4/5

Tools are mostly distinct with detailed descriptions guiding usage, though some overlap exists between similar query tools like ask_pipeworx, ask_pipeworx_grounded, and deep_research, which could cause confusion for agents not reading carefully.

Naming Consistency3/5

All tool names use snake_case and are readable, but there is no consistent verb-noun pattern. Prefixes vary widely (actions like ask, compare, generate vs. domains like denue, polymarket), making the naming scheme inconsistent.

Tool Count3/5

With 35 tools, the count is high for a server named 'Denue', which suggests a narrower focus. While the breadth may be justified by the platform's capabilities, the number feels slightly heavy and could be streamlined.

Completeness4/5

The tool set covers a wide range of data sources and operations, but it is read-only with no write capabilities for external data. Memory and subscription tools add some action, but overall, it is fairly complete for its stated purpose.

Resources