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ANIME INTELLIGENCE

anime_market

Read-onlyIdempotent

Get current matched asking-price intelligence for an identified Japanese anime collectible from Yahoo Shopping, eBay and stored market observations. Returns lowest, median and highest prices, offer count, freshness and the best matched listing while rejecting likely identity mismatches. Price: 0.01 USDC via x402. Use after identity is known and the user asks current price, market range, cheapest observed listing or current availability.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoANIME INTELLIGENCE canonical product UUID.
langNoen
queryNoProduct name, JAN/EAN-13, model number or identifying description.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
intentNo
paymentNo
price_usdcNo
paid_x402_urlNo
expected_outputNo

Schema Changelog

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

  1. Added
  2. Removed
  3. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already mark this as read-only, idempotent, open-world, and non-destructive, and the description does not contradict them. It adds valuable behavioral context beyond the annotations: the result includes lowest/median/highest price, offer count, freshness, and best matched listing, that it rejects likely identity mismatches, and that it costs 0.01 USDC via x402.

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?

Three sentences, each earning its place: purpose/scope, return summary and cost, then usage timing. The most important information is front-loaded, and there is no repetitive or filler wording.

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 tool with an output schema and read-only annotations, the description is largely complete: it states prerequisite, cost, data sources, and the shape of the returned intelligence. It could be more complete by naming sibling alternatives or giving explicit when-not-to-use conditions, but these gaps are minor.

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?

The schema already documents query and id, and the anyOf structure conveys that one of them is required, while lang has an enum/default. The description does not add any parameter-level guidance beyond saying the item is 'identified', so it provides no additional semantic value for choosing or formatting parameters.

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 opens with a specific verb and resource: 'Get current matched asking-price intelligence for an identified Japanese anime collectible', and names data sources (Yahoo Shopping, eBay, stored market observations). It also differentiates itself from identify/search siblings by restricting use to an already identified item and by enumerating the price summary outputs. This is unambiguous and not a tautology.

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?

It explicitly states when to use the tool: 'Use after identity is known' and when the user asks for current price, market range, cheapest observed listing, or current availability. It does not explicitly name alternative sibling tools or give 'when not to use' exclusions, so it stops short of 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

A3.9/5.0
Disambiguation4/5

Most tools target a distinct decision or data need: identity, market price, rarity, authenticity, buy/wait decision, and best purchase route. The main ambiguities are search_anime_product vs identify_anime_product and anime_market vs best_place, but the descriptions largely clarify the intended use.

Naming Consistency3/5

The naming is readable but mixes conventions: four tools use an anime_ noun prefix, two use verb_anime_product, and two use standalone noun phrases like best_place and full_intelligence. The pattern is not predictable enough for a consistent verb_noun or prefix-based convention.

Tool Count5/5

Eight tools is a well-scoped count for an anime-collectible intelligence service. Each tool maps to a necessary step in the decision workflow, and full_intelligence is a justified aggregation endpoint rather than redundant bloat.

Completeness4/5

The workflow from search/identify through market, rarity, authenticity, buy/wait, and best place covers the core advisory journey well. Minor gaps like price history or an explicit watch-list mechanism are absent, but agents can work around them using market data and the watch recommendation.