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Glama

get_collection_info

Fetch Ordinals collection details by slug, including name, description, inscription count, floor price, volume, and owner count.

Instructions

Get details for an Ordinals collection. Returns name, description, inscription count, floor price, volume, and owner count.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesCollection slug/symbol (e.g., bitcoin-puppets, nodemonkes)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

B3.4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does add value by naming the concrete return fields (name, description, inscription count, floor price, volume, owner count), making it clear this is a read-only aggregate lookup, but it says nothing about permissions, rate limits, or error behavior.

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?

Two short sentences, purpose first and return contents second, with zero filler or redundancy.

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 read tool with a fully documented schema, the description covers what the tool does and what comes back. The absence of any routing against the many sibling collection/inscription tools is the only meaningful gap.

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% and the single slug parameter is documented in the schema with examples (bitcoin-puppets, nodemonkes). The description adds no parameter detail beyond that, so the baseline 3 applies.

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?

States a specific verb (Get) and resource (Ordinals collection details) and enumerates the returned fields, so the purpose is unambiguous. It does not, however, distinguish itself from close siblings like get_collection_inscriptions or get_collection_listings, which an agent could easily confuse for this lookup.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance and no mention of alternatives, despite the sibling list containing several competing collection-scoped tools. Usage is only implied by the resource name.

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