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market_pulse_history

Get daily Market Pulse history — BUY/SELL/NEUTRAL verdict, confidence %, Fear & Greed, regime, whale buy ratio, leverage suggestion over up to 90 days — Daily historical Market Pulse verdict and confidence. One row per day: BUY/SELL/NEUTRAL verdict, confidence percentage, Fear & Greed score, market regime (Bull/Bear/Sideways/Accumulation), whale buy ratio (0-1), average leverage pressure score (0-100), and leverage suggestion. DB-backed, 5-min cache. Powered by market_pulse_daily table (365d retention, permanent monthly archive).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoNumber of days of history to return (1–90, default 30).

TDQS

B3.4/5.0
Behavior4/5

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

Despite no annotations, the description discloses that the data is DB-backed with a 5-minute cache and specifies data retention (365d, monthly archive). This provides useful behavioral context beyond the input schema.

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?

The description is moderately concise but somewhat repetitive (e.g., 'Daily historical Market Pulse verdict and confidence' echoes the first sentence). It could be streamlined without losing clarity.

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?

The description comprehensively lists the fields returned per row (verdict, confidence, Fear & Greed, regime, whale buy ratio, leverage suggestion) and includes cache and retention info. For a single-parameter tool without output schema, this is reasonably complete.

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 only one parameter (days) with schema description coverage at 100%. The description reiterates the range but adds no new syntactic or semantic details beyond the schema.

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 clearly states the tool retrieves daily Market Pulse history with specific data fields, making the purpose clear. However, it does not explicitly distinguish the tool from siblings like fear_greed_history or sentiment_history, which also provide historical market data.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. The description lacks instructions on use cases, prerequisites, or when not to use it.

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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TDQS

A3.8/5.0
Disambiguation4/5

Most tools have distinct purposes, but there are a few pairs with overlapping boundaries (e.g., analysts_signals vs analysts_signals_all, whale_movements vs whale_movements_summary) that could cause minor confusion.

Naming Consistency4/5

Naming is predominantly snake_case and descriptive, with minor inconsistencies in plural/singular forms (e.g., 'analysts' vs 'analyst_archive'). Overall pattern is stable.

Tool Count2/5

With 55 tools, the server is quite heavy. While the scope is broad, many tools are history/monthly variants that could be combined, making the count feel inflated beyond what is ideal for a single server.

Completeness4/5

The tool set covers a wide range of crypto analytics domains (analysts, arbitrage, funding, whales, sentiment, etc.). Minor gaps exist (e.g., no direct token price endpoint), but overall it's a comprehensive surface.

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