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Daily brief

get_daily_brief

[Market data: crypto] Once-per-day brief: regime, dot counts, top 10 coins by dot strength, BTC/ETH/SOL flows. Paid: $0.02 USDC on Base, paid in-band via x402 MCP (@x402/mcp; _meta "x402/payment"). Also at GET https://micro-saas-agent.onrender.com/api/brief.

Input Schema

NameRequiredDescriptionDefault
passNoOptional GW8 day pass token (from buy_day_pass / POST /api/pass/day); skips per-call payment

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / pass
      Added value: +{
      +  "description": "Optional GW8 day pass token (from buy_day_pass / POST /api/pass/day); skips per-call payment",
      +  "maxLength": 80,
      +  "type": "string"
      +}
  2. First observed

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses a hard cost ($0.02 USDC on Base), the in-band x402 payment mechanism, the `_meta "x402/payment"` convention, an alternate HTTP endpoint, and a cadence constraint (once per day). It does not say what happens on a second call within the same day (cached vs. recharged) or what error a caller sees without funds.

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

Conciseness4/5

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

A dense but well-ordered fragment set: content first, then cost, then payment mechanism, then alternate access. The '[Market data: crypto]' prefix and the x402 clause are terse, though the parenthetical payment reference is slightly cryptic to an uninitiated agent.

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?

For a zero-required-param, no-annotation tool with no output schema, the description covers what matters most for correct invocation: what the payload contains, what it costs, how payment is settled, and an alternative access path. Only edge behavior on repeat same-day calls and failure modes remain unstated.

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

Parameters3/5

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

There is one optional parameter at 100% schema coverage, so the schema already explains the `pass` token and its effect. The description mentions payment but never refers to the pass mechanism directly, so it adds no meaning beyond structured fields; baseline 3 applies.

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?

The description names a specific resource (a once-per-day brief) and enumerates its contents: regime, dot counts, top 10 coins by dot strength, and BTC/ETH/SOL flows, so an agent knows exactly what it returns. It does not, however, distinguish itself from siblings like get_regime, get_band_dots, or get_flows, whose data this bundle apparently aggregates.

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

Usage Guidelines3/5

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

Usage is only implied: 'once-per-day' signals a periodic aggregate snapshot rather than an on-demand query, and the payment note hints that cheaper siblings (get_brief_teaser, individual endpoints) exist. There is no explicit 'use this when...' or 'prefer X instead' statement naming any of the many sibling tools.

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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