Skip to main content
Glama

Search Cards

search_cards

FROZEN INPUTS since 2026-09-07: the USD price series stopped, so this is computed from the last published prices; responses carry usd_panel {frozen: true, as_of}. Say "last published", never "today". Search 446K+ trading card products by name using full-text search.

The catalog contains 446K products total — 284K are actively priced with current market data. ~157K are catalog-only entries (tokens, promos, bundles) with no price history. Disney Lorcana, Flesh & Blood, Dragon Ball Super, Digimon, Star Wars, Union Arena, MetaZoo, Cardfight Vanguard, and My Hero Academia.

Returns product IDs (needed for get_price and get_merkle_proof), card names, games, and current market prices.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gameNoOptional game filter (e.g. "Pokemon", "Magic", "Yu-Gi-Oh")
limitNoNumber of results (1-50, default 10)
queryYesSearch term (e.g. "charizard base set", "black lotus", "luffy")

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden, and it does real work: it warns that price inputs are frozen, that responses carry usd_panel {frozen: true, as_of}, and even dictates phrasing ('say last published, never today'). It also discloses catalog composition (284K priced vs ~157K catalog-only with no price history), which tells the agent some results will lack prices. Auth, rate limits, and pagination behavior are not covered.

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

Conciseness3/5

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

The frozen-inputs warning is usefully front-loaded, but '446K' is stated twice and the game list is a verbless fragment ('Disney Lorcana, Flesh & Blood, ...'). It is not bloated, but it has redundancy and an unanchored list.

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?

An output schema exists, so return fields need not be enumerated, yet the description still covers the critical caveat (frozen prices), catalog coverage, and the tool's role in the workflow. With no annotations, gaps like auth or rate limits remain, but nothing needed to call it correctly is missing.

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 description coverage is 100%, so the schema already documents query, game, and limit; baseline 3 applies. The description's list of supported games adds some context for the game filter, but it differs from the schema's own examples (Pokemon/Magic/Yu-Gi-Oh), which risks confusion rather than adding clean meaning.

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?

States a specific verb and resource — 'Search 446K+ trading card products by name using full-text search' — and names the downstream consumers (get_price, get_merkle_proof) so the agent can place it as the catalog entry point among its siblings.

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?

Implies clear workflow context: this is the lookup step whose returned product IDs feed get_price and get_merkle_proof. It gives no explicit when-not or exclusion guidance, but the usage context is unambiguous.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources