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CoinBucha Daily Brew

get_daily_brew
Read-onlyIdempotent

The 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[], attribution, source_terms }, one summary line per signal with its strength, direction and one-line why. Example: {}. CoinGecko values carry attribution: "Powered by CoinGecko" and source_terms. Information, not financial advice. Every answer carries data_contract { source, as_of, status, corrections_url, license }. This server answers bounded questions, one question, one answer; for bulk, history, backfills and scheduled pulls use the CSVs and datapackage.json at https://coinbucha.com/data.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • removedInput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
  2. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already establish readOnly, idempotent, non-open-world behavior, and the description adds meaningful context beyond them: no arguments, exact return fields, required CoinGecko attribution text, a 'not financial advice' disclaimer, and a data_contract envelope with source/as_of/status. It does not discuss rate limits or freshness guarantees for the daily digest, leaving a small gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loads the purpose well, but it is padded: the title phrase 'the CoinBucha Daily Brew' is restated, and 'Example: {}' is an empty-object example that conveys nothing for a no-argument tool. Attribution, disclaimer and server-routing clauses are useful but crowd the core statement.

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?

With no output schema, the description carries the return contract and does so by enumerating the fields plus the data_contract envelope, so an agent knows what comes back. The only shortfall is that it never explains the shape or ordering of signals_summary[] entries beyond 'one summary line per signal.'

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Zero parameters, so baseline is 4; the description correctly confirms 'Takes no arguments,' which matches the empty schema and removes any ambiguity about how to call it.

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?

States a specific verb and resource — the day's machine-readable digest of the whole signal set — and the 'whole signal set' framing implicitly separates it from the per-signal siblings (get_etf_flows, get_hiring_signal, get_treasury_holdings, etc.). It never explicitly names those siblings or scan_signals, so the differentiation is inferable rather than spelled out.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives real routing guidance: 'one question, one answer' bounded questions belong here, while bulk, history, backfills and scheduled pulls should use the CSVs/datapackage.json. The exclusion is explicit, though the external data files are named as the alternative instead of the sibling tools like get_signal_history.

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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