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Glama

The Undesirables TCG Oracle

recommend_workflow

Describe your goal in natural language and get a recommended sequence of TCG Oracle API calls to accomplish it.

FREE — no payment required.

Example goals:

  • "I have 50 raw Pokémon cards and $500 budget"

  • "Is this Charizard worth grading?"

  • "Find me undervalued cards to flip"

  • "Predict the price of a Black Lotus in 90 days"

Use this when: you're not sure which tool to call first, or need a multi-step workflow recommendation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
goalYes

Schema Changelog

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

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It clarifies that the tool returns a 'recommended sequence' rather than executing actions, and it adds cost information with 'FREE — no payment required.' It does not describe potential limitations, but the core behavior is transparent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, front-loaded with the core purpose, and every element earns its place: the main explanation, the cost note, varied examples, and explicit usage guidance. There is no filler or repetition.

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?

For a single-parameter tool with no output schema, the description is largely complete: it explains the input, the kind of output, and when to use the tool. It falls slightly short of full completeness by not stating any limitations or what form the recommended sequence takes.

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 0%, so the description must compensate for the bare 'goal' parameter. It does so by explaining that the goal is natural language and supplying four concrete example goals. This makes the parameter's meaning and expected shape clear despite the lack of schema-level documentation.

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 verb and resource: 'Describe your goal in natural language and get a recommended sequence of TCG Oracle API calls to accomplish it.' It distinguishes this as an orchestrator/planner tool by saying to use it when unsure which tool to call first or when a multi-step workflow is needed.

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 provides explicit conditions for use: 'Use this when: you're not sure which tool to call first, or need a multi-step workflow recommendation.' This gives clear context, though it does not explicitly state when not to use it or name specific alternative sibling tools.

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
Disambiguation2/5

Multiple tools have unclear boundaries: card_forecast and simulate_price both return conformal-calibrated forecasts with Safe-Hold/Momentum grades; grade_card and grade_or_not both include ROI verdicts; check_accuracy and oracle_scorecard are both accuracy dashboards; market_snapshot and trending_cards both surface market movers. The descriptions carry some differentiators, but an agent would frequently misselect among these pairs.

Naming Consistency3/5

All names are snake_case, which is consistent, but the verb/noun pattern is mixed: some are verb_noun (check_accuracy, grade_card, optimize_portfolio, search_tcg_products, simulate_price), while many are noun_noun or noun phrases (card_forecast, market_snapshot, oracle_scorecard, sports_board, souls_in_wallet). The result is readable but not predictable.

Tool Count3/5

23 tools sits in the heavy 16–25 band, and the server spans several domains: TCG pricing/forecasting/grading, souls and fantasy, the Syndicate game, and technocore. It is not extreme, but the count feels bigger than a single focused oracle needs.

Completeness4/5

The core card-market workflow is well covered: search, price forecast, simulation, trending, market snapshot, grading, ROI, loan preview, and accuracy verification are all present. Minor gaps include the paid loan quote for off-board cards not being exposed as an MCP tool and some redundancy between card_forecast and simulate_price, but no CRUD lidecycle is required for a read-only oracle.