Get CenuFiltrs Popular Searches
cf_popular_searchesGet user's most popular/frequent searches. Requires authentication.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Number of results |
cf_popular_searchesGet user's most popular/frequent searches. Requires authentication.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Number of results |
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?
Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, covering the safety profile. The description adds the useful context that authentication is required, but does not explain aggregation logic or output behavior beyond that.
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 two short sentences with no redundancy: a clear purpose statement followed by a necessary authentication note. Every word earns its place.
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 read-only tool with one optional parameter and strong annotations, the description covers the essentials: what it retrieves and the auth requirement. However, it does not describe the return format or how 'popular/frequent' is determined, which would be useful given there is no output schema.
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 schema fully describes the only parameter 'limit' with default, min, max, and a description ('Number of results'). The tool description adds no additional parameter-level meaning, so the baseline applies.
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 uses a specific verb ('Get') and resource ('user's most popular/frequent searches'), making the tool's purpose clear. It does not explicitly differentiate from related siblings like cf_search_history or cf_render_search_results, but the 'popular/frequent' qualifier distinguishes it from a raw history.
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?
The only usage guidance is 'Requires authentication,' which is a prerequisite rather than when-to-use guidance. There is no mention of when to choose this tool over alternatives such as cf_search_history or cf_render_search_results.
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.
Several tools have overlapping purposes, particularly cf_category_hierarchy vs cf_list_categories (both provide category taxonomy paths) and cf_search_offers vs cf_list_offers (both return offers). Descriptions help, but the boundaries between category-related tools and offer listing/search could confuse an agent.
All tool names follow a consistent cf_ verb_noun snake_case pattern (e.g., cf_add_wish, cf_list_retailers, cf_search_offers). The convention is uniform and predictable, making it easy to infer tool behavior from the name.
With 22 tools, the server covers a broad domain but is slightly heavy. The count is reasonable for a price-comparison service with search, product, price, retailer, user, and comment functionality, though it exceeds the typical ideal range.
The toolset provides solid coverage of the price-comparison domain: search, categories, offers, products, retailers, price history/summary, deal analysis, wishlist, comments/reviews, and user search history. Minor gaps exist (e.g., no product-specific reviews, no comment edit/delete), but core workflows are fully supported.