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Malwarebazaar

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

A4.6/5.0
Behavior4/5

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

Annotations declare readOnlyHint, idempotentHint, etc. The description adds value by describing the return format (example questions with tool+argument shape) and the fact that it draws from a live catalog, beyond what annotations provide.

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 slightly long but well-organized with alternative questions up front, then explanation of output and parameters. Every sentence is informative, though minor trimming could be possible.

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 tool with one optional parameter and no output schema, the description fully covers purpose, usage, parameter behavior, and output nature, making it complete for onboarding.

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 parameter description is clear. The description adds extra meaning by listing specific topic values and explaining the effect of omitting vs. providing the topic, which helps the agent use the tool correctly.

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 category-bucketed example questions, serves as an onboarding entry point, and distinguishes itself from siblings by being the first tool to use when exploring Pipeworx's capabilities.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says 'Use this FIRST when you do not yet know what Pipeworx can do for you' and describes when to pass a topic vs. call with no arguments, providing clear context of use.

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

All Malwarebazaar toolsInspect
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TDQS

A3.5/5.0
Disambiguation2/5

Several tools are near-duplicates: ask_pipeworx_beta is described as currently identical to ask_pipeworx, and ask_pipeworx_grounded is the same router with extra verification. Malware sample searches also overlap across search_family, search_tag, search_signature, and recent_samples, while ai_visibility_check is wrapped by scan_competitor_ai_presence.

Naming Consistency3/5

The set mostly uses snake_case and verb-first names like get_sample_info and validate_claim, which is helpful. However, conventions are mixed across ask_pipeworx*, polymarket_*, pipeworx_*, search_*, and noun-style names like recent_samples and entity_profile, so there is no single predictable pattern.

Tool Count2/5

36 tools is already over the comfortable range, but the bigger issue is that the server is named Malwarebazaar while only about five tools actually deal with malware. The remaining tools belong to an unrelated data-research, prediction-market, memory, and subscription platform, making the count inappropriate for the server's apparent purpose.

Completeness2/5

For the MalwareBazaar domain, the set covers metadata lookups and filtered sample searches but lacks sample submission, retrieval, or deeper analysis workflow. The rest of the tool surface targets unrelated domains, so there is no coherent, complete lifecycle for either malware intelligence or the broader feature set.

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