storefront_catalog
Pay-per-call: storefront catalog + metrics payload (products list). Price 1.00 USDC on Base.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Pay-per-call: storefront catalog + metrics payload (products list). Price 1.00 USDC on Base.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose any behavioral traits. It mentions 'pay-per-call' and the price, which is useful for cost awareness, but it does not describe any other behaviors such as data freshness, rate limits, or potential side effects. The tool does not have a readOnlyHint, so the agent might assume it could have side effects, but the description does not clarify. This is a gap given the lack of annotations.
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: one sentence, direct, and front-loaded with the essential info: pay-per-call, storefront catalog, metrics payload, and price. There is zero fluff. For a tool with no parameters, this is appropriate.
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?
Given the tool has zero parameters and no output schema, the description is arguably sufficient for a basic understanding. However, it lacks any mention of return format, pagination, or use cases. The price is included, which is good. Still, the tool might have some complexity in terms of what metrics are included, which is not described. It is minimally complete but lacks depth.
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?
Since there are zero parameters, the description does not need to explain any parameter meanings. The schema is empty, so there is no additional info to provide. Given that there are no parameters, a baseline of 4 might be appropriate, but the description does not confirm that the tool requires no inputs explicitly; it just lacks parameters. The description does mention 'products list' which gives a hint of what output to expect, but no input semantics are needed.
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 clearly states what the tool returns: a storefront catalog plus metrics payload specifically for products list. It mentions the pay-per-call nature and pricing, which helps the agent understand the cost implications. However, it doesn't explicitly differentiate from sibling tools like agent_site_audit or wallet_watch, though the mention of storefront catalog is distinct enough.
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?
There is no guidance on when to use this tool versus alternatives. The description does not explain any use cases, prerequisites, or exclusions. The agent is left without context on when this tool is appropriate, especially since sibling tools exist with different purposes.
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.
There is clear overlap between agent_site_audit/agent_site_audit_5 and wallet_watch_pro/wallet_watch_snapshot, which differ only by scale. Descriptions clarify the distinction, but the agent must carefully parse limits to choose the right one. Other tools are distinct.
Tool names mix conventions: some start with a verb (generate_llms_txt, web_fetch), others are noun-first compounds (crypto_price, storefront_catalog, wallet_watch_*). Variant suffixes like _5, _pro, _snapshot are not uniform. Overall readable but not consistent.
With 8 tools, the count sits comfortably within a well-scoped range. Each tool has a specific purpose, though some duplicates (audit variants, wallet variants) could be consolidated. Still, the number is appropriate for a mixed utility toolkit.
The server covers its stated domains—site auditing, crypto prices, LLM file generation, storefront catalog, wallet snapshots, and web fetching. There are minor gaps (e.g., no batch crypto pricing, no transaction history beyond recent), but for a pay-per-call toolkit the surface is reasonably complete.