Skip to main content
Glama

LION - Trend Intent MCP + Marketplace Visibility Audit

lion_payment_attempt_readiness_audit

Pre-spend payment-term trust check for x402 endpoints. Before your agent signs a Payment-Signature, call this with a target x402/MCP service URL: LION extracts the target live 402 payment terms (payTo, amount, asset, network, scheme), cross-checks them for drift across public discovery surfaces, and returns payment_attempt_blockers, buyer_policy_fit, canonical_purchase_recipe, funnel_stage, a transparent readiness score, and risk_flags so the agent can decide whether to sign. 0.05 USDC on Base eip155:8453. Unpaid tools/call returns JSON-RPC error -32402 with the x402 paymentRequirement; wallet-capable MCP clients (e.g. Coinbase Payments MCP, AWS AgentCore Payments) auto-construct the EIP-3009 signature. LION does NOT perform payment inside MCP. Checks payment-term consistency only - not a smart-contract security audit, no settlement guarantee, no fund movement.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesPublic HTTPS x402/MCP service URL to audit.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
assetYes
payToYes
amountYes
schemeYes
statusYes
networkYes
price_usdcYes
instructionsYes
paid_endpoint_urlYes
external_paid_proofYes

TDQS

A4.4/5.0
Behavior5/5

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

With no annotations provided, the description carries the full burden and delivers rich behavioral context. It reveals the 0.05 USDC cost, the JSON-RPC error for unpaid calls, the auto-construction of EIP-3009 signatures by wallet-capable clients, and explicit limitations (no payment, no settlement, no fund movement). This goes beyond a simple 'checks terms' statement.

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?

The description is moderately long but densely informative, front-loading the purpose and then methodically covering behavior, cost, errors, and limitations. Every sentence contributes value, though it could be slightly tightened by removing redundant phrasing such as 'LION does NOT perform payment inside MCP' and 'no fund movement' which overlap.

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?

Despite having an output schema, the description lists all major return fields (blockers, policy fit, recipe, funnel stage, readiness score, risk flags), explains the error condition, states the cost, and clarifies the tool's scope limitations. For a tool with one parameter and no annotations, this is a comprehensively complete description.

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?

The sole parameter `url` is fully described in the schema (pattern, format, description). The description only mentions it as a 'target x402/MCP service URL' without adding new semantic details beyond the schema. With 100% schema coverage, the baseline of 3 is appropriate.

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 opens with a specific verb+resource: "Pre-spend payment-term trust check for x402 endpoints." It clearly states the tool audits payment terms before signing a Payment-Signature, distinguishing it from sibling data-query tools. The purpose is further clarified by enumerating the exact outputs (blockers, policy fit, recipe, funnel stage, readiness score, risk flags).

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?

Explicit when-to-use guidance is provided: "Before your agent signs a Payment-Signature, call this." It also gives when-not-to-use caveats: LION does not perform payment, is not a smart-contract security audit, and provides no settlement guarantee. While no alternative tool is named, the exclusions and context are clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.

Resources