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slickdeals_category

Read-only

Current deals in one Slickdeals category/tag: title, price, list price, store, vote score, comment count, found-by username, and status flags (popular/expired/new/frontpage). slug must come from slickdeals_categories.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "slug": "<slug>"
    },
    "name": "slickdeals_category"
  }
}

Input Schema

NameRequiredDescriptionDefault
slugYesCategory/tag slug from GET /slickdeals/categories

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / slug / description
      Added value: +"Category/tag slug from GET /slickdeals/categories"
  2. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the read-safety and open-world nature are covered. The description's added value is the field inventory and status flags (popular/expired/new/frontpage), but since an output schema exists, that enumeration largely restates structured data rather than disclosing behavior like pagination, result caps, or auth needs.

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?

Front-loads the purpose before the field enumeration, and the dependency constraint is placed last as a short imperative sentence. The middle field list is long but each item is informative; no filler prose or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter, read-only listing tool with a full input schema, output schema, and safety annotations, the description covers purpose, scope, and the slug prerequisite well. The only omission is anything about result volume or paging behavior, which is minor given the output schema documents the return shape.

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?

Schema coverage is 100% and the single 'slug' parameter is already documented as coming from GET /slickdeals/categories. The description reinforces this ('slug must come from slickdeals_categories') but adds no format examples, casing rules, or slug syntax beyond what the schema provides, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific resource and scope: 'Current deals in one Slickdeals category/tag', which is precise enough for an agent to know it returns a deal list rather than metadata. It also enumerates the returned fields, so the shape is clear. However it does not explicitly distinguish itself from adjacent siblings such as slickdeals_primary_category or slickdeals_frontpage, which an agent could easily confuse it with.

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?

Provides the key prerequisite — 'slug must come from slickdeals_categories' — routing the agent to the correct upstream call and implicitly discouraging guessed slugs. There is no explicit when-not guidance against the other category-flavored siblings (primary_category, frontpage, search), so the selection logic is clear but not exclusionary.

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

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