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Backtesting Arena

Get Altcoin Season Snapshot

arena_get_altcoin_season

Is it altcoin season? Daily Altcoin-Season indicator (v7 Native-Filter methodology). Returns BTC-, alt- and stablecoin dominance, the 4 Layer-1 signals (alt_dominance, total_market_cap, btc_dominance, stable_dominance — weekly smoothed-Heikin-Ashi directions; weights in methodology.layer1), overall color (red/yellow/green) and Layer 2: altcoin_season_pct (share of top-50 alts beating BTC over 90 days) with altcoin_season_pct_basis (beating / eligible / expected — coins without a 90-day return drop out of the denominator) and altcoin_season_pct_provenance (grade full/partial/thin; fields="full" names the missing coins), plus the top-30 CoinGecko snapshot. [Free tier]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsNoOmit for the default response, which carries `provenance` in short form (grade full/partial/thin, sources_used, sources_expected). 'full' adds the long form: sources_missing (named), sources (licence attribution names), grade_reason, as_of — plus per-part provenance where the composite has parts. A `thin` grade (under half the expected inputs) is never a basis for a verdict or a ranking.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / $schema
      Added value: +"http://json-schema.org/draft-07/schema#"
    • addedInput schema / additionalProperties
      Added value: +false
    • addedInput schema / properties / fields
      Added value: +{
      +  "description": "Omit for the default response, which carries `provenance` in short form (grade full/partial/thin, sources_used, sources_expected). 'full' adds the long form: sources_missing (named), sources (licence attribution names), grade_reason, as_of — plus per-part provenance where the composite has parts. A `thin` grade (under half the expected inputs) is never a basis for a verdict or a ranking.",
      +  "enum": [
      +    "full"
      +  ],
      +  "type": "string"
      +}
  2. Changed2 schema fields changed
    • removedInput schema / properties / context
      Removed value: -{
      -  "description": "Explain why you are calling this tool and how it fits into the user's overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person ('I', 'we', 'you') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): \"Searching across the organization's repositories to find all open issues related to performance complaints and latency issues for team prioritization.\"",
      -  "type": "string"
      -}
    • removedInput schema / required
      Removed value: -[
      -  "context"
      -]
  3. First observed

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the burden and does substantial work: it names the methodology version, explains the red/yellow/green color semantics, and warns that a 'thin' grade is never a basis for a verdict or ranking. It omits auth requirements, rate limits, and latency, so it is strong but not exhaustive.

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?

The leading question front-loads intent effectively, and the dense body delivers real substance without filler sentences. However, the long run-on paragraph of hyphenated jargon (altcoin_season_pct_basis, provenance grades, weekly smoothed-Heikin-Ashi) is harder to parse than a bulleted structure would be.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so the description must document the return shape itself, which it does thoroughly: dominances, the 4 Layer-1 signals, overall color, Layer 2 percentages with basis and provenance, and the top-30 snapshot. For a complex composite indicator, this is complete enough to interpret results.

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 enum parameter 'fields' is already fully documented in the schema, so the schema does the heavy lifting. The description's note that fields='full' names the missing coins largely restates the schema rather than adding new meaning, keeping this at the baseline.

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+resource ('Get Altcoin Season Snapshot') and opens with the exact question it answers: 'Is it altcoin season?'. It clearly delineates itself from siblings like arena_get_asset_snapshot and arena_get_macro_regime by naming its distinct v7 Native-Filter methodology and output set.

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

Usage Guidelines3/5

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

The 'Is it altcoin season?' framing implies the use case, and '[Free tier]' hints at tiering, but there is no explicit when-to-use, when-not-to-use, or named alternative tool. An agent must infer context from the returned fields rather than any routing guidance.

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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