Add to CenuFiltrs Wishlist
cf_add_wishAdd a product or offer to wishlist/bookmarks. Requires authentication.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| offer_id | No | Offer UUID to bookmark | |
| product_id | No | Product UUID to bookmark |
cf_add_wishAdd a product or offer to wishlist/bookmarks. Requires authentication.
| Name | Required | Description | Default |
|---|---|---|---|
| offer_id | No | Offer UUID to bookmark | |
| product_id | No | Product UUID to bookmark |
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 indicate a mutating operation (readOnlyHint: false). The description adds 'Requires authentication,' which is a useful behavioral note, but beyond that it does not disclose edge cases such as what happens when neither parameter is provided.
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 a single, front-loaded sentence that states the action and the auth requirement with no filler or redundancy.
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?
The tool is simple, and the schema plus auth note cover basics, but the description does not clarify that at least one of the two optional parameters should be provided, despite saying 'a product or offer.' No output behavior is described (though no output schema exists).
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 input schema already provides 100% coverage with descriptions for both offer_id and product_id. The description's phrase 'product or offer' simply mirrors the schema, adding no new semantic meaning for the parameters.
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 the specific verb 'Add' and identifies the target resource ('product or offer') and destination ('wishlist/bookmarks'), making the tool's purpose immediately clear and distinguishing it from sibling cf_remove_wish.
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 description provides only an authentication prerequisite, implying usage but not explicitly stating when to use this tool versus alternatives like cf_remove_wish or cf_list_wishes. No exclusions or alternative tool references are given.
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.