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Glama

Ygoprodeck

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.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. Description adds that results include full input schemas with curated examples and are ready to call directly, providing useful behavioral context beyond annotations. No contradiction.

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?

Description is moderately long but well-structured, front-loading the main purpose and use cases. Every sentence adds value, though a slight trimming could improve conciseness.

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 simplicity and no output schema, the description adequately explains what is returned (top-N tools with names, descriptions, schemas). Provides enough context for effective use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline 3. Description mentions accepting natural language description and aliases, which is already in schema. Does not add significant new meaning beyond schema details.

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 finds tools by describing data or task, listing many example domains (SEC filings, FDA drugs, etc.). It differentiates from siblings by emphasizing it's for discovering available tools, not querying data, and explicitly says 'Call this FIRST' to see the option set.

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?

Provides explicit when-to-use: 'when you need to browse, search, look up, or discover what tools exist' and 'Call this FIRST when you have many tools available'. Lacks explicit when-not or exclusion cases, but context implies not for direct data retrieval.

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

All Ygoprodeck toolsInspect
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TDQS

A3.7/5.0
Disambiguation3/5

Many tools have distinct purposes, but the cluster of Pipeworx tools (ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded) are very similar, causing potential confusion. The memory tools (remember, recall, forget) also add some overlap.

Naming Consistency3/5

All tool names use lowercase with underscores, which is consistent. However, the similar Pipeworx tools have confusingly similar names (ask_pipeworx vs ask_pipeworx_grounded vs ask_pipeworx_beta), and the naming does not clearly distinguish their differences.

Tool Count2/5

With 34 tools, the set is too large for a server ostensibly focused on Yu-Gi-Oh! cards. The majority of tools are unrelated domain-agnostic data tools, making the count feel bloated and unfocused.

Completeness2/5

The Yu-Gi-Oh! card tools are limited to lookup and search, missing obvious operations like creating or updating cards. The unrelated data tools, while many, do not form a coherent set for a single purpose, leaving gaps in both directions.

Resources