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Entertainment Feeds

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

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, making it safe and idempotent. The description adds context about returning top-N relevant tools with full schemas and examples, confirming the behavior. 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 a single well-structured paragraph that front-loads the purpose. It includes a list of domains, which is slightly verbose but helpful. It could be more concise by trimming the domain list, but it remains clear and efficient.

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?

Given the tool's complexity (multiple parameters with aliases, no output schema), the description covers what it does, how to use it, and what it returns. It explains the result format (schemas with examples) and usage hint. Some details like error handling are missing, but overall it is complete for a discovery tool.

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%, so baseline is 3. The description adds value by explaining the query parameter's aliases (task, q, etc.) and providing examples like 'look up FDA drug approvals'. It also clarifies the limit parameter's default and max. This goes beyond the schema's brief descriptions.

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?

Description clearly states the tool's purpose: 'Find tools by describing the data or task.' It lists specific domains (SEC filings, financials, etc.) and distinguishes itself from sibling tools by focusing on discovery rather than direct data retrieval. It is specific and actionable.

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?

Description explicitly advises 'Call this FIRST when you have many tools available and want to see the option set (not just one answer).' This provides clear context for when to use it. However, it lacks explicit exclusions (e.g., when you already know the tool), which would elevate it to a 5.

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

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TDQS

A3.6/5.0
Disambiguation3/5

While most tools have distinct purposes, there is notable overlap between the ask_pipeworx variants (ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded) and deep_research. Similarly, bet_research and polymarket_edges both analyze betting opportunities. These overlapping tools can cause confusion for an agent.

Naming Consistency2/5

Tool names follow a snake_case pattern, but the verbs used are highly varied (ask_, bet_, compare_, deep_, discover_, entity_, fetch_, forget_, generate_, list_, pipeworx_, polymarket_, read_, recall_, recent_, remember_, resolve_, scan_, search_, subscribe_, suggest_, unsubscribe_, validate_). This lack of a consistent verb_noun pattern makes it harder to predict tool names.

Tool Count2/5

34 tools is excessive for an 'Entertainment Feeds' server. The majority of tools are unrelated to entertainment (e.g., SEC filings, FDA drugs, FRED data, Polymarket betting). Many of these should belong to a separate 'data-access' server, making the scope unwieldy and unfocused.

Completeness2/5

For an entertainment feeds server, the set is incomplete. It can list and read curated feeds and fetch arbitrary RSS, but lacks tools for managing subscriptions to those feeds, searching across feeds, or creating feeds. The inclusion of many non-entertainment tools doesn't compensate for these gaps.

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