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deep_report

Requires a ChainHelix API key as bearer token, or 25 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. The complete nine chain research brief in one call: the full market report with price walls, large transfers and bot activity, the live signal stream with conviction scores and ranking tiers, cross chain correlations, options volatility, session statistics and the proof stream counters, with links to verify every signal on chain. The most complete single answer this server produces

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
proofNo
reportNo
verifyNo
signalsNo
sessionsNo
generatedYes
correlationsNo
optionsVolatilityNo

TDQS

A3.5/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses important operational requirements: authentication via ChainHelix API key or payment through Binance b402/x402, and notes that the output includes on-chain verification links. This adds behavioral context beyond the bare schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a long run-on sentence that buries the core purpose behind payment details and a lengthy list of report components. It is not front-loaded and lacks clear structure or paragraphing, making it harder to parse quickly.

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?

The output schema likely covers return values, so not explaining them is acceptable. However, the description fails to clarify the chain parameter semantics or how this report relates to sibling tools. Payment and content details are comprehensive, but the input ambiguity and lack of usage context prevent a higher score.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has one parameter (chain) with an enum of nine chains, but the description does not explain how the parameter relates to the 'nine chain research brief.' It is ambiguous whether the report covers all chains at once or whether the user must select a specific chain. This lack of clarity leaves the agent uncertain about parameter behavior, especially since the parameter is optional.

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?

The description clearly states the tool produces 'the complete nine chain research brief in one call' and enumerates its major components (market report, signal stream, correlations, options volatility, etc.). It distinguishes from siblings by calling itself 'the most complete single answer this server produces,' which sets it apart as a comprehensive aggregation tool.

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 description implies this is the go-to for a comprehensive overview ('most complete single answer'), but it does not explicitly state when to use this tool versus alternatives like situation_report, market_state, or latest_signals. No when-not-to-use guidance or alternative tool names are mentioned.

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

A3.5/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but some overlap exists among report tools (situation_report, deep_report, market_state) and spec tools (attest_spec, proof_spec). These could confuse an agent selecting the most appropriate endpoint.

Naming Consistency4/5

Tool names use consistent snake_case and are descriptive, but follow mixed patterns: verb_noun for actions (buy_key, list_attestations) and bare nouns or noun phrases for data endpoints (prices, congestion, wall_map). This is readable but not fully uniform.

Tool Count3/5

With 26 tools, the set is heavy and covers multiple domains (attestation, market data, key management, webhooks). It sits just above the borderline for comfort, but the breadth is justifiable given the server's multi-purpose nature.

Completeness5/5

The tool surface provides full lifecycle coverage for attestation (create, read, verify), key management (buy, claim, status), and webhooks (register, status, unregister), plus a wide range of market data endpoints. There are no obvious gaps or dead ends.

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