get_daily_brewThe day's machine-readable digest of the whole signal set — the CoinBucha Daily Brew. Takes no arguments. Returns { date, btc_price_usd, headline, signals_summary[] }, one summary line per signal with its strength, direction and one-line why. Example: {}. Information, not financial advice.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate read-only and idempotent behavior. The description adds valuable context by specifying the return structure (date, btc_price_usd, headline, signals_summary[]) and the nature of each summary line (strength, direction, one-line why). It also includes a disclaimer ('Information, not financial advice'), which is a useful behavioral note. No contradictions with annotations.
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 long and front-loaded with the core purpose. The second sentence efficiently conveys the return format, content, and a disclaimer. Every sentence adds value; there is no fluff or unnecessary repetition. The example is minimal but does not detract.
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?
For a no-argument tool with no output schema, the description provides a fairly complete picture: it names the top-level fields and describes what each signals_summary line contains. It could be more precise about the exact structure of signals_summary items, but the given detail is sufficient for most use cases. The sibling context and annotations further fill in safety and scope.
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, and the schema coverage is 100% (an empty properties object). The description confirms 'Takes no arguments,' which is redundant but harmless. With no parameters to describe, the baseline of 4 applies, and the description does not need to add further parameter details.
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's purpose: it returns a machine-readable digest of the whole signal set. This differentiates it from sibling tools that provide individual signal data (e.g., get_etf_flows, get_hiring_signal). The specific verb 'digest' and resource 'whole signal set' make 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 implies the tool is for obtaining a comprehensive daily overview of all signals, as opposed to individual signal tools. It notes that it takes no arguments, making the usage context clear. However, it does not explicitly mention when not to use it or name alternatives, so it stops short of full exclusion guidance.
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.
Tools target distinct data sources: ETF flows, hiring, network hashrate, sovereign reserves, treasury holdings, and a cross-signal scan. get_daily_brew and scan_signals both summarize signals but differ in format (digest vs. ranked list), creating mild potential for confusion. Overall, descriptions clearly differentiate purposes.
Six of seven tools follow a consistent get_<resource> pattern (e.g., get_etf_flows, get_treasury_holdings). scan_signals breaks the pattern with a different verb, and get_daily_brew uses a non-resource name, but the deviation is minor and the naming remains intuitive.
With 7 tools, the set is well-scoped for a Bitcoin signals server. Each tool covers a distinct signal category without excess or redundancy, making the count appropriate for the domain.
The tool surface covers a broad range of leading Bitcoin indicators (network, institutional flows, corporate and sovereign holdings, hiring, and a composite scan). Potential minor gaps exist (e.g., sentiment or derivatives data), but the core signal set appears reasonably complete for the stated purpose.