CoinGecko trending search (coins + nfts + categories). (x402: 0.001 USDC per call)
HTTP equivalent: GET /x402/trending-altcoins Payment: x402 protocol — send X-PAYMENT header with base64 payment payload, or X-API-Key / X-Owner-Key / Bearer token to bypass.
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Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the payment requirement (0.001 USDC per call) and the HTTP endpoint, which goes beyond the minimal annotations (title only). However, it does not describe the return format, potential rate limits, or any side effects, leaving significant behavioral aspects undisclosed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise, with the purpose front-loaded in the first sentence and payment/endpoint details in the second. Every sentence adds necessary context, with no redundant or extraneous information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple zero-parameter tool, the description covers the essential purpose and payment requirements, but omits any information about the response structure or example output. Given the absence of an output schema, this is a notable gap, though the tool's inherent simplicity mitigates the impact.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool accepts no parameters, so the input schema is empty and the description cannot add parameter-specific semantics. Per the rubric, zero-parameter tools receive a baseline of 4, and the description does not need to compensate for schema gaps.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'CoinGecko trending search (coins + nfts + categories)', which clearly identifies the resource and scope. It subtly differentiates from sibling tools like 'trending_tokens' by explicitly mentioning NFTs and categories, though it lacks an explicit verb like 'list' or 'get'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 such as 'trending_tokens' or 'geckoterminal_trending'. The description focuses on what the tool does and payment details, but does not offer selection criteria or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Multiple tool pairs are exact duplicates (e.g., wallet_analysis/wallet_analyzer, honeypot_check/rugpull_detector, defi_yield/defi_yield_rates) with identical descriptions, and many overlapping scanners (squeeze_scanner variants). An agent cannot reliably distinguish these tools.
Names are all snake_case, but conventions vary wildly: some are resource names (btc_price), some are actions (list_magnets), some are generic utilities (calculator), and duplicates use different naming patterns for the same function (wallet_analysis vs wallet_analyzer). No consistent verb_noun or resource_action pattern.
139 tools is an extreme count for any MCP server, far exceeding the 50+ threshold. The scope is a grab-bag of unrelated domains (crypto, FDA, SEC, utilities, web scraping), suggesting no curation.
The set is a shallow pile of read-only queries and utilities with no lifecycle management for any one domain. Many sub-areas have only one or two tools, and duplicates occupy slots where distinct operations should be. The lack of a clear domain makes completeness impossible to assess, but the surface is redundant rather than comprehensive.