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WaveTrend for one coin

get_coin

[Market data: crypto] WaveTrend 4h snapshot for one coin. Paid: $0.002 USDC on Base, paid in-band via x402 MCP (@x402/mcp; _meta "x402/payment"). Also at GET https://micro-saas-agent.onrender.com/api/coin/{symbol}.

Input Schema

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

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

B3.4/5.0
Behavior3/5

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

With no annotations, the description does real work by disclosing the paid model ($0.002 USDC on Base, x402 in-band) and the pass mechanism for skipping per-call payment, plus an alternative HTTP endpoint. However, it says nothing about what the snapshot contains, whether results are cached/stale, or failure modes when payment is missing — meaningful gaps for an unannotated tool.

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?

Two compact sentences, front-loading what the tool returns before the payment and endpoint details. No filler, though the endpoint URL is more operational trivia than selection-relevant content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Payment mechanics are well covered, but with no annotations and no output schema the description should say more about the shape and content of the returned snapshot (fields, values, latency). It is callable as-is, but an agent cannot predict the response.

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?

Schema coverage is 50%: the optional 'pass' token is fully documented in the schema and 'symbol' is constrained by a large enum, so the description carries little extra burden. The description adds no semantics beyond the schema (no format or encoding hints for the pass token), so baseline 3 is appropriate.

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 indicator (WaveTrend), a specific timeframe (4h), and a scope (one coin), so an agent knows exactly what it fetches. It doesn't differentiate itself from conceptually nearby siblings such as get_band_dots or get_full_signal, which is the only thing keeping it below a 5.

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?

The description implies the use case (fetching a single-coin WaveTrend snapshot) and notes an equivalent REST route, but gives no explicit guidance on when to pick this over get_full_signal, get_band_dots, or get_daily_brief. Usage must be inferred from the indicator name rather than stated.

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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