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Pulltrader Seller Economics

Summarize the current market for a trading card

summarize_card_market

Return a canonical market summary for a trading card from recent comparable sales: median, mean, 10th–90th percentile range, volatility, and a confidence level based on sample size and dispersion. Use this when a user asks 'what's it worth', 'market value', or 'how volatile is this card'. Accepts a natural-language query or a structured item. Estimates from recent sales, excluding fees/taxes/shipping; not financial advice. Trading cards only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemNoStructured card fields (alternative to query): player_athlete, year_manufactured, set_name, card_number, parallel_variety, grader, grade, sport.
queryNoNatural-language card description, e.g. '2023 Panini Prizm Victor Wembanyama #136 Silver PSA 10'. Either query or item is required.

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations provided, the description discloses key behaviors: estimates are from recent sales, excludes fees/taxes/shipping, and disclaims as not financial advice. It also restricts to trading cards. Does not cover rate limits or error handling, but the disclosed traits are relevant and sufficient for an agent.

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?

Four sentences; front-loaded with purpose and outputs. Each sentence adds necessary detail. Minor redundancy in saying 'not financial advice', but overall efficient without unnecessary verbiage.

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?

No output schema, but the description lists all output components. Input options are well explained. Limitations (trading cards only, excludes fees) are stated. For a non-destructive query tool, the description is sufficiently complete to guide correct invocation.

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% with descriptions for both parameters. The description adds value by clarifying the mutually exclusive nature of query vs item, and enumerating the fields expected in the structured item object, which goes beyond the schema description alone.

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 specifies a clear verb ('Return a canonical market summary') and resource ('for a trading card'), listing specific outputs and domain. It effectively distinguishes from siblings like search_card_sales and get_card_price_history by focusing on synthesized market summary rather than raw sales or price history.

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?

Explicitly states when to use: when user asks 'what's it worth', 'market value', or 'how volatile'. Provides domain constraint ('Trading cards only'). Does not mention when not to use or compare with sibling tools, but the guidance is clear and actionable.

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

A4.6/5.0
Disambiguation5/5

Each tool targets a distinct operation: calculating prices, comparing costs, explaining methods, identifying cards, searching sales, summarizing markets, and fetching price history. No functional overlap exists between any pair.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern (e.g., calculate_required_sale_price, compare_selling_costs, explain_selling_method) with no mixed conventions or abbreviations.

Tool Count5/5

With 7 tools covering pricing, fee comparison, method explanations, card identification, sales search, market summary, and price history, the set is well-scoped for a seller economics domain—neither too sparse nor bloated.

Completeness5/5

The tool surface comprehensively covers the seller economics lifecycle: card identification, market data (recent sales, price history, summary), fee/cost comparison, target-pricing calculation, and method explanation. No obvious dead ends for the stated purpose.

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