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options_skew

Requires a ChainHelix API key as bearer token, or 2 cents per call paid over Binance b402 in USDT, USDC, USD1 or U on BNB Smart Chain, or over x402 in USDC on the Base network. Bitcoin and Ether options volatility surface from Deribit by horizon (front, short, mid, long): at the money, put and call implied volatility, risk reversal, butterfly, open interest, latest hour against 24 hours earlier within the same moneyness band definition (bandVersion)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
horizonNo
currencyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultsYes

TDQS

B3.4/5.0
Behavior4/5

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

No annotations are provided, so the description must carry the behavioral burden. It does disclose meaningful operational details: ChainHelix API key bearer token requirement, per-call cost of 2 cents, payment rails (Binance b402 and x402), the data source (Deribit), and the comparison window (latest hour vs 24 hours earlier). It does not mention data freshness, failure behavior, or rate limits, but the disclosure is substantial.

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 description packs a lot into one long sentence, but it is not well front-loaded: the payment and auth requirements appear before the actual purpose. The information is dense rather than concise, and a structured split between 'what this tool does' and 'how to pay/authenticate' would be more agent-friendly.

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

Completeness3/5

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

For a two-parameter tool with an output schema, the description gives substantial operational context: data source, currencies, horizons, metrics, comparison window, and payment requirements. However, it lacks sibling differentiation, does not state what happens when no horizon or currency is provided, and leaves the bandVersion concept unexplained. It is functional but not fully complete for an agent choosing among many market-data siblings.

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 schema has 0% description coverage, but the description compensates by explaining both parameter domains: horizon values (front, short, mid, long) and currencies (Bitcoin and Ether, mapped to BTC/ETH). It also adds context about what each horizon and currency selection affects in the volatility surface. It does not explain defaults or behavior when parameters are omitted, which prevents a 5.

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 action and resource: it provides a Bitcoin and Ether options volatility surface from Deribit, broken down by horizon and including metrics like implied volatility, risk reversal, butterfly, and open interest. It is clear about what the tool returns, though the heavy payment clause at the front slows recognition of the core purpose and no sibling differentiation is made.

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 guidance about when to use this tool versus alternatives such as iv_summary, open_interest, or correlation_matrix. The description implies use for Deribit options volatility data, but it never states the conditions, exclusions, or why an agent should prefer this over sibling tools.

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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TDQS

C2.9/5.0
Disambiguation2/5

Several tools occupy nearly the same territory: market_state, situation_report, and deep_report all present overlapping per-chain market analysis at different comprehensiveness levels. attest_spec and proof_spec are also near-identical, and attest_status, attestation_stats, and list_attestations use similar attestation vocabulary. Most data tools have unique jobs, but the overlapping report and verification tiers create real misselection risk.

Naming Consistency3/5

The server consistently uses snake_case but mixes noun-style data endpoints like prices and wall_map with command-style actions like attest, buy_key, and verify_reveal. Report names are also uneven: market_state, situation_report, and deep_report signal only vague depth differences. The set is readable but does not follow a single predictable convention.

Tool Count2/5

With 29 tools, this exceeds the heavy threshold and spans roughly four distinct functional areas: market data, attestation, key management, and webhooks. Each tool may earn its place individually, but the overall menu is too large for one MCP server; splitting it into data and attestation/administration servers would be clearer.

Completeness4/5

The attestation lifecycle is well covered with creation, status, listing, reveals, stats, and independent verification, and the key purchase and webhook workflows are also complete. The main gaps are historical-depth data, explicit key revocation, and a direct hire action despite hireable agents being listed, but agents can generally work around these. Core workflows do not dead-end.

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