orbuc_btc_health
Check health of the BTC holdings tracker.
Returns status, database date range, segment count, and record totals.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Check health of the BTC holdings tracker.
Returns status, database date range, segment count, and record totals.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description adds concrete output behavior (status, database date range, segment count, record totals), enriching the agent's understanding of what to expect from the call.
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?
Two sentences, zero waste. The first sentence states the action and resource; the second lists the return fields. Everything earns its place, and the most important information is front-loaded.
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 tool's simplicity (no params, no output schema), the description covers the essential return components. It could be slightly more explicit about what 'status' entails or potential error conditions, but it is sufficiently complete for a health-check 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?
The tool has zero parameters, so the schema already covers everything. Per the rubric, 0 params gets a baseline of 4; the description appropriately omits parameter details and instead focuses on output.
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 uses the specific verb 'Check' with the resource 'health of the BTC holdings tracker', distinguishing it from sibling holdings data tools. It also enumerates the returned fields (status, database date range, segment count, record totals), making the purpose unambiguous.
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 clearly frames the tool as a health check for the BTC tracker, allowing an agent to infer when to use it. However, it does not explicitly mention alternatives or exclusions, such as comparing to orbuc_stablecoin_health, so it stops short of an explicit when-not-to-use guideline.
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.
Each tool has a clearly distinct purpose with no ambiguity. The BTC tools focus on holdings data with different temporal granularities (current, daily, weekly) and segment breakdowns, while the stablecoin tools cover market cap, supply data, chain distribution, and health checks. There is no functional overlap between tools, making selection straightforward.
All tool names follow a consistent snake_case pattern with a clear prefix structure: 'orbuc_btc_' for Bitcoin-related tools and 'orbuc_stablecoin_' for stablecoin-related tools. The naming convention is uniform throughout, using descriptive nouns and adjectives to differentiate functions (e.g., 'health', 'current', 'daily', 'segments').
With 12 tools, the server is well-scoped for its dual-domain purpose covering BTC holdings and stablecoin data. The count is appropriate, providing comprehensive coverage without bloat, and each tool serves a distinct, necessary function in the data retrieval and monitoring workflow.
The tool set offers complete coverage for both BTC holdings and stablecoin data domains. For BTC, it includes health checks, current holdings, daily/weekly time series, and segment breakdowns. For stablecoins, it covers health, aggregate data, chain distribution, historical and latest coin-specific data, and market cap tracking, leaving no obvious gaps for typical agent workflows.