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Thegamesdb

by io.github.pipeworx-io

Discover Tools

discover_tools
Read-onlyIdempotent

Find tools by describing the data or task. Use when you need to browse, search, look up, or discover what tools exist for: SEC filings, financials, revenue, profit, FDA drugs, adverse events, FRED economic data, Census demographics, BLS jobs/unemployment/inflation, ATTOM real estate, ClinicalTrials, USPTO patents, weather, news, crypto, stocks. Returns the top-N most relevant tools with names, descriptions, and full input schemas (with curated examples) — each result is ready to call directly, no second schema lookup needed. Call this FIRST when you have many tools available and want to see the option set (not just one answer).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoAlias for query.
taskNoAlias for query.
limitNoMaximum number of tools to return (default 20, max 50)
queryYesNatural language description of what you want to do (e.g., "analyze housing market trends", "look up FDA drug approvals", "find trade data between countries"). Accepts task, q, description, search as aliases.
searchNoAlias for query.
descriptionNoAlias for query.

TDQS

A4.6/5.0
Behavior5/5

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

The description adds value beyond annotations by stating the output format: 'top-N most relevant tools with names, descriptions, and full input schemas (with curated examples) — each result is ready to call directly.' This provides behavioral detail that annotations alone do not convey.

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 a single paragraph that front-loads the core purpose and includes every necessary detail. It could be more structured (e.g., bullet points) but no sentence is wasted, earning above average conciseness.

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?

Given the 6 parameters, no output schema, and many sibling tools, the description is complete. It covers purpose, usage, output format, and parameter behavior, providing a full picture for an agent to use the tool correctly.

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?

With 100% schema coverage, the baseline is 3. The description adds value by clarifying the alias parameters (q, task, search, description) and the default limit, reinforcing parameter usage beyond what the schema already provides.

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 'Find tools by describing the data or task' and lists many specific domains, establishing a specific verb+resource. It distinguishes itself from sibling tools as the discovery tool.

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?

The description explicitly says 'Use when you need to browse, search, look up, or discover what tools exist' and advises 'Call this FIRST when you have many tools available and want to see the option set.' It provides clear usage context but does not explicitly state when not to use it or give alternative tools.

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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