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Thegamesdb

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

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, openWorld, and non-destructive. The description adds that the results are drawn from a live catalog, implying dynamic content, and explains the return format (category-bucketed examples with tool+argument shapes). This exceeds what annotations alone provide, but no additional behaviors (e.g., rate limits) are mentioned.

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 moderately long but front-loaded with user intent aliases and delivers valuable context. Every sentence adds information; however, the list of categories is somewhat verbose and could be shortened without loss.

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 is fully self-contained. It explains the return content, parameter behavior, and onboarding purpose. The mention of meta-tools provides additional context. No gaps remain.

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?

Schema coverage is 100% and the description expands on the topic parameter by listing concrete values and explaining the effect of omitting it. This adds significant meaning beyond the schema's brief description.

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 example questions bucketed by category, explicitly distinguishes it from siblings by positioning it as the first tool to use when onboarding, and names the meta-tools it teaches. The verb (suggest_questions), resource (Pipeworx capabilities), and scope (category-bucketed examples) are highly specific.

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?

The description explicitly says 'Use this FIRST when you do not yet know what Pipeworx can do for you' and provides guidance on omitting vs. passing topic. It also refers to sibling tools (meta-tools) as a next step, giving clear when/where-not/alternatives guidance.

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

All Thegamesdb toolsInspect
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TDQS

A3.6/5.0
Disambiguation2/5

The set contains several tightly overlapping clusters: ask_pipeworx vs ask_pipeworx_beta (currently identical) vs ask_pipeworx_grounded, five polymarket_* tools with related purposes, and entity_profile vs compare_entities vs recent_changes covering similar company-research ground. The four game tools are distinct but swamped by the unrelated Pipeworx majority, making correct tool selection genuinely difficult.

Naming Consistency2/5

No coherent naming scheme spans the set: snake_case verb_noun (get_game, list_platforms, scan_dependency) coexists with verb_prefix descriptors (ask_pipeworx, generate_llms_txt), domain-prefixed nouns (polymarket_edges, pipeworx_trending), and bare verbs like recall and forget. Even within the Pipeworx cluster, styles vary unpredictably (ask_pipeworx vs pipeworx_feedback vs scan_competitor_ai_presence).

Tool Count2/5

35 tools is far too many for a server named Thegamesdb, where only 4 of 35 tools relate to the game database at all. The remaining 31 tools constitute a broad Pipeworx data platform with heavy internal overlap, making the surface feel bloated rather than well-scoped.

Completeness2/5

For the declared TheGamesDB domain, coverage is minimal: search, get-by-id, and list genres/platforms, with no per-platform game listings, images/artwork, or updates/refresh functionality. If the true domain is Pipeworx data access, the surface is fairly complete, but as presented under Thegamesdb there are major gaps and a severe identity mismatch.

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