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LION - Trend Intent MCP + Marketplace Visibility Audit

lion_base_dex_signals_json

Live Base (eip155:8453) DEX market-data feed for trading and research agents. Returns a fresh ranked snapshot of active Base tokens with raw on-chain metrics: price_usd, liquidity_usd, volume_h24, volume_m5, price_change_h1/h24, pair_age_hours, dex, and a transparent mechanical activity_score (volume + liquidity + recency). Source: public DexScreener data, no API key. Raw public market data only - not financial or investment advice, no buy/sell recommendation. Pay 0.005 USDC on Base via x402 at the paid route. tools/call returns payment-required metadata only; settle the x402 invoice at the paid route to fetch the live JSON.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.7/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and does so excellently: discloses public DexScreener source, no API key required, paid route payment amount and token, that tools/call returns only payment-required metadata, and explicitly disclaims financial advice.

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 dense but efficient: every sentence adds value—scope, metrics, source, payment workflow, and disclaimer. Information is front-loaded and well-structured, avoiding fluff.

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?

Given no output schema and no parameters, the description fully compensates by listing expected output fields, explaining the scoring mechanism, payment steps, and caveats. It is complete for an agent to understand what the tool returns and what actions are required.

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?

The tool has zero parameters, so the baseline is 4. Although description focuses on output fields (price_usd, liquidity_usd, etc.), it adds semantic context about the 'mechanical activity_score' and raw on-chain nature, which is useful for interpretation.

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 clearly states a specific verb+resource: 'Live Base (eip155:8453) DEX market-data feed' that 'Returns a fresh ranked snapshot of active Base tokens'. It lists exact metrics, distinguishing this tool from sibling tools like trend-intent signals or adaptive queries.

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?

Context is clear: this is for trading/research agents needing live Base DEX data, with explicit payment workflow and source info. However, it does not name alternatives or state when not to use this tool, so it lacks explicit exclusions.

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

A3.9/5.0
Disambiguation2/5

The adaptive_data_query and base_dex_signals_json overlap heavily on DEX data, and the two trend_intent_signal tools are identical except for output format, making it unclear which to use for a given task.

Naming Consistency3/5

All tools share the 'lion_' prefix and use snake_case, but the suffix pattern is inconsistent (query, signals_json, audit, signal_csv, signal_json), so naming is only partially predictable.

Tool Count4/5

Five tools is within the reasonable range, but the redundant format variants (CSV/JSON) and overlapping query/signal tools make the effective scope smaller than the count suggests.

Completeness2/5

The server claims to cover trend intent and marketplace visibility audit, yet the tools only provide DEX data, buyer-intent signals, and payment-term checks. There are clear gaps for a dedicated visibility audit and no lifecycle coverage for any specific resource.

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