Get article
get_articleOne article as Markdown (section = comparisons | guides | reviews | news | opinion).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | ||
| section | Yes |
get_articleOne article as Markdown (section = comparisons | guides | reviews | news | opinion).
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | ||
| section | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds that the output is exactly one article in Markdown format, which is useful context beyond the annotations. No further behavioral details such as error handling, auth, or slug specificity are provided, so it stops at a modest contribution.
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 short sentence with the key output fact front-loaded. The parenthetical section list is somewhat redundant with the schema enum but still concisely reinforces valid values. It is efficient without being incomplete to the point of confusion.
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?
With no output schema and 0% parameter description coverage, the description does not fully equip an agent to make a valid call: slug semantics are undefined, and there is no mention of how section and slug interact or what happens when the slug is not found. Annotations cover read-only behavior but not the parameter contracts.
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?
Schema description coverage is 0%, so the description must compensate for the missing parameter documentation. It only repeats the section enum values already present in the schema and says nothing about slug, which is also required. This does not add meaningful semantic value beyond the schema.
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 identifies the resource (article), the result form (single Markdown document), and the allowed section categories, which distinguishes it from get_page, get_provider, and list_articles. The verb is implicit in the tool name rather than in the description itself, so it doesn't quite earn a 5, but it is unambiguous.
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?
No guidance is given about when to use this tool versus siblings like list_articles or search. It does not state that slug is required, what a slug represents, or when to prefer get_article over another retrieval tool. The agent is left to infer usage from the name and schema.
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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