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marketsummary__get_market_summary

[marketsummary] Market recap — filterable by timeframe and category.

timeframe: 6h / 24h / 7d / 30d (clamped by tier: free≤24h, connected≤7d). category: all / market / whale / news / tech / regulation / funding. lang: en / pl. Free returns top headlines. Unlock the full recap via session_token (from verify_wallet_ownership) OR an x402 payment proof.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNoen
paymentNo
categoryNoall
timeframeNo24h
session_tokenNo

TDQS

A4.8/5.0
Behavior5/5

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

With no annotations, the description carries the full burden. It discloses critical behavioral traits: timeframe clamping by tier, free vs paid access, and the exact auth mechanisms (session_token from verify_wallet_ownership or x402 payment proof). This goes beyond minimal and gives the agent a comprehensive understanding of constraints and requirements.

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

Conciseness5/5

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

The description is concise and information-dense, using a compact bullet-like structure. Every sentence earns its place: the first line states the core purpose, the second details all filters and tier behavior, and the third explains access levels. No filler or redundant content.

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

Completeness5/5

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

For a tool with 5 optional parameters and no output schema, the description covers all necessary selection and invocation aspects: what the tool does, filter options, tier constraints, and access requirements. It is complete enough for an agent to decide when and how to call it correctly.

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

Parameters5/5

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

Schema description coverage is 0%, so the description is the sole source for parameter meaning. It explicitly enumerates valid values for timeframe, category, and lang, and clarifies the purpose of session_token and payment. This fully compensates for the lack of schema descriptions and provides actionable guidance.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'Market recap — filterable by timeframe and category.' This clearly differentiates it from sibling tools like get_market_breadth or get_trending, which target different metrics. The title also includes the market summary scope, making the tool's purpose unmistakable.

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?

The description provides clear context on when to use the tool: for a market recap with timeframe and category filters. It also explains tier-based limitations (free≤24h, connected≤7d) and how to unlock the full recap via session_token or payment. However, it does not explicitly mention alternatives or when not to use this tool, hence not a 5.

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

A4.1/5.0
Disambiguation5/5

Each tool targets a distinct metric or action: attention shifts, buzz score, trending, and narrative tracking measure different facets; longs, shorts, and setups use different strategies; market regime, breadth, and summary are clearly separated. No two tools appear to produce the same output.

Naming Consistency5/5

All tools follow a consistent pattern: a subsystem prefix (marketsummary__, tokensafety__, verify__) followed by an imperative verb_noun in snake_case. Verbs are predictable (get, find, track, ask, check, request, verify) and objects are clear, making the naming highly uniform.

Tool Count4/5

24 tools is above the typical 3-15 range, but the server covers a broad market-intelligence domain with distinct feature areas. The tools are namespaced by subsystem, which helps agents navigate, but the volume still adds selection overhead.

Completeness4/5

The set covers market analysis, trending, sentiment, trade setups, token safety, and wallet verification for premium access. Minor gaps exist (e.g., no direct price/OHLC tool or token search), but agents can work around them using the provided tools.

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