Return factual label-derived risk indicators for multiple Bitcoin addresses in one call. Forwards X-WR-API-Key/Bearer auth when present.
| Name | Required | Description | Default |
|---|---|---|---|
| addresses | Yes | Bitcoin addresses to score, in result order. |
| 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 mentions forwarding auth headers, which is helpful, but does not disclose other behavioral traits like idempotency, rate limits, or side effects. The basic read-only nature is implied but not explicit.
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 two sentences with no unnecessary words. It front-loads the primary purpose and then adds auth forwarding detail, efficiently using space.
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 adequately covers the tool's role. It could be improved by mentioning result ordering or error handling, but overall it provides sufficient context for a batch risk signal tool.
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%; the description adds no extra meaning beyond the schema. The parameter 'addresses' is already well-explained in the schema. The description does not provide format examples or additional context.
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 it returns 'factual label-derived risk indicators for multiple Bitcoin addresses in one call.' It specifies the resource (Bitcoin addresses) and the action (return risk indicators in batch). This effectively distinguishes it from single-address tools like address_risk and other batch tools like batch_trust_safety.
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 implies batch usage ('in one call') but does not explicitly guide when to use this tool over siblings like risk_check_batch or batch_intelligence. No when-not or alternative suggestions are provided.
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.