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whale_watch

Detective agent: the largest public-company holders of bitcoin or ether with values and share of supply, plus 1-day and 7-day stablecoin mint/redeem flows as a read on fresh capital. 0.005 USDC per call via x402.

Input Schema

NameRequiredDescriptionDefault
assetNobitcoin or ethereumbitcoin
paymentProofNoPayment proof: USDC tx hash on Polygon or Base (0x...) or Solana tx signature. Omit on the first call to receive the 402 payment instructions, pay, then call again with the proof.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries more burden, and it does disclose the key behavioral fact that each call costs 0.005 USDC via x402. However, it does not describe data freshness, rate limits, error behavior, or any other operational constraints beyond payment.

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 description is compact and mostly front-loaded, putting the data scope before the payment note. The phrase “Detective agent” is slightly odd, but no sentence 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?

For a simple two-parameter data-retrieval tool with no output schema, the description covers what is returned and the payment requirement. The payment-proof sequence is documented in the schema, so the description does not need to repeat it in full.

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%, so the schema already fully documents the asset and paymentProof parameters. The description adds only indirect confirmation that bitcoin/ether are the asset universe, which is baseline-level value.

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 resource and scope: largest public-company bitcoin/ether holders and stablecoin mint/redeem flows. It is clear what data the tool returns, though it does not explicitly differentiate itself from nearby market-data siblings such as crypto_price, stablecoin_pegs, or chain_tvl.

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?

The description gives no explicit when-to-use guidance or comparison to alternatives. It implies that this is a niche holder/flow dataset, but an agent must infer whether to choose it over stablecoin_pegs, chain_tvl, or crypto_price.

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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