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Collection stats

get_collection_stats

Live collection statistics for Spirit Cards: total minted, max supply, current mint price (ETH), difficulty (requiredBits/baseBits), cooldown, merge fee, burned/forged counters, paused flag, chainId and contract.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations and no output schema, the description carries the disclosure burden, and it does usefully enumerate the returned data (mint price, difficulty bits, cooldown, merge fee, paused flag, chainId, contract). However it says nothing about freshness guarantees beyond the word 'Live', caching, units for fee/cooldown, or failure modes, leaving real gaps for a tool with zero structured coverage.

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?

A single front-loaded sentence with no filler; the field list is dense but efficient. It is slightly run-on as a comma-separated enumeration rather than grouped, but nothing is wasted.

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?

Because no output schema exists, the description must explain what comes back, and it does so by listing every field. Minor omissions remain (currency/units for merge fee and cooldown, and how paused/chainId should be interpreted), but the agent has enough to call and interpret the result.

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?

The tool takes no parameters, so the baseline of 4 applies. The description correctly avoids inventing arguments and instead spends its text on the return payload.

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 states a specific verb and resource ('Live collection statistics for Spirit Cards') and enumerates the exact fields returned, which implicitly separates it from siblings like get_card, get_pool, and get_leaderboard. It stops short of explicitly naming which sibling answers a different question, so it is clear but not fully differentiated.

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 statement of when to call this tool versus get_project_info, get_pool, or get_card, and no prerequisites or exclusions. For a zero-argument read tool the intent is somewhat self-evident, but no guidance is actually provided.

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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