Return the premium satoshidata.ai address-intelligence card for a single Bitcoin address, including current best label, live wallet activity, cohort hints, and scanner signals.
| Name | Required | Description | Default |
|---|---|---|---|
| address | Yes | Bitcoin wallet address to enrich. |
| Name | Required | Description | Default |
|---|---|---|---|
| ok | Yes | ||
| data | No | ||
| error | No | ||
| endpoint | Yes | ||
| status_code | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It clearly indicates a read operation (returning a card) and lists the type of data included. However, it does not mention whether authentication, rate limits, or costs apply, nor any potential side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, well-structured sentence that front-loads the core action and outputs with no superfluous text.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the presence of an output schema, the description need not detail return values. It already lists key output components, making it complete for a single-parameter tool with clear context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% and the description adds no additional semantic information about the 'address' parameter beyond what the schema provides (it says 'Bitcoin wallet address to enrich,' matching the schema). Baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool returns a 'premium satoshidata.ai address-intelligence card' for a single Bitcoin address and lists specific outputs (best label, wallet activity, cohort hints, scanner signals). It distinguishes itself from siblings like address_risk and address_evidence_pack by implying it is the comprehensive intelligence card.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description does not explicitly state when to use this tool versus alternatives like address_evidence_pack or address_risk. It mentions 'premium' but provides no guidance on context or exclusions, leaving the agent to infer usage from the tool name and sibling list.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Multiple tools cover similar address intelligence (e.g., address_intelligence, address_risk, risk_check, wallet_summary) and dormant coin detection (pulse_dormant, dormancy_flushes, chain_awakenings), causing potential confusion despite descriptive names. Some overlap exists but descriptions help differentiate.
Tools use snake_case and generally follow a verb_noun or noun_verb pattern (e.g., address_evidence_pack, batch_intelligence, fees_recommended). However, a few tools like submit_feedback and verify_timestamp start with verbs, while others start with resources, causing minor inconsistency.
44 tools is high for a wallet intelligence server, covering many subdomains (address, batch, blockchain, mempool, mining, timestamping, etc.). While each tool has a specific purpose, the count feels heavy and could be consolidated, but it's not extreme given the broad scope.
The tool set thoroughly covers Bitcoin wallet and on-chain intelligence: address lookup, risk, evidence, batches, blocks, mempool, fees, mining pools, timestamping, transaction broadcast/verification, pulse feeds, whales, and more. No obvious gaps for the stated purpose.