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dollartree_blog_article

Read-only

Get one public Dollar Tree Value Seekers Blog article by the slug and article_id from its URL. Returns the DTBlogPost record with its HTML body and parent-category metadata.

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>",
      "article_id": "<article_id>"
    },
    "name": "dollartree_blog_article"
  }
}

Input Schema

NameRequiredDescriptionDefault
slugYesRequired. The slug segment from a public Dollar Tree Value Seekers Blog article URL.
article_idYesRequired. The article id from the same public Value Seekers Blog URL.

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. Added

TDQS

A3.8/5.0
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 safety and network profile are covered. The description adds that only public articles are reachable and that HTML body and parent-category metadata come back, but says nothing about error behavior for a mismatched slug/id pair — a real risk with two required identifying keys.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, both load-bearing: the first defines the fetch and its keys, the second defines the return payload. Nothing is redundant or padded.

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?

With an output schema present, the description need not enumerate return fields, and the mention of HTML body plus parent-category metadata is adequate framing. The only gap is the absence of any note on failure when the two required identifiers do not correspond to a single article.

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 description coverage is 100% and the schema already tells the agent each value is a URL segment from a public blog article. The description restates that same linkage ('from its URL') without adding format, case-sensitivity, or matching rules, so it does not exceed the schema baseline.

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

Purpose5/5

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

States a specific verb and resource (Get one public Dollar Tree Value Seekers Blog article) and qualifies the lookup key precisely as the slug plus article_id from the URL. This cleanly separates it from the other dollartree_* tools, which all deal with products, prices, categories or stock.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'by the slug and article_id from its URL' implies the caller must already hold a blog article URL, which is useful context. However, it never states when to use this versus other entry points, what to do if only a title is known, or how to obtain the slug in the first place.

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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