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Ordiscan: getCollectionMarketInfo

getCollectionMarketInfo
Read-onlyIdempotent

Retrieve floor price in sats and USD, and market cap in BTC and USD for a Bitcoin inscription collection.

Instructions

Get market info for a Bitcoin inscription collection: floor price in sats and USD, market cap in BTC and USD. Use this when user asks about collection prices, valuations, or floor prices.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesThe collection slug (e.g., 'bitcoin-puppets', 'nodemonkes')
Behavior4/5

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

Annotations already mark it as read-only, idempotent, and non-destructive. The description adds value by detailing the exact outputs (floor price in sats/USD, market cap in BTC/USD), which goes beyond the annotations. No contradictory information.

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 two sentences: first defines purpose and output, second states usage context. It is efficiently front-loaded with no wasted words, earning a top score.

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 simple tool with one parameter and no output schema, the description covers core purpose, outputs, and usage. It could optionally mention error handling or return structure, but the given info is sufficient for agent understanding.

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% with a clear description for the slug parameter. The tool description adds no additional meaning or context for the parameter beyond what the schema already provides, so baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it gets market info for Bitcoin inscription collections, specifying floor price and market cap in both sats/USD and BTC/USD. It distinguishes from sibling tools like getCollectionInfo or getCollectionVolume by focusing on pricing data, but does not explicitly differentiate.

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 says 'Use this when user asks about collection prices, valuations, or floor prices,' providing clear context. It does not mention when not to use or alternative tools, but the guidance is direct and helpful.

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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