Read article
get_articleGet an article's content from its RSS feed, with its highlights, notes, and estimated reading time. Some feeds publish only an excerpt.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| article_id | Yes | The article ID. |
get_articleGet an article's content from its RSS feed, with its highlights, notes, and estimated reading time. Some feeds publish only an excerpt.
| Name | Required | Description | Default |
|---|---|---|---|
| article_id | Yes | The article ID. |
Changes observed during successful MCP inspections.
No schema history has been recorded yet.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds real behavioral context beyond that: the returned payload includes highlights, notes, and estimated reading time, and some feeds publish only an excerpt, which warns the agent that content may be incomplete. It stops short of stating error behavior for a missing/unfetchable article.
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?
Two tight sentences, front-loaded with the primary action and payload, followed by a single caveat that earns its place by warning about partial content. No filler or restated name/title.
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, the description does the work of summarizing return contents (content, highlights, notes, reading time), and the annotations cover the safety profile. The main remaining gap is failure behavior for an invalid or unfetchable article ID.
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?
One parameter with 100% schema description coverage ('The article ID.'), so the schema carries the semantics and the baseline is 3. The description adds no format hints (e.g., where the ID comes from or whether it is a feed item GUID), so it does not exceed baseline.
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?
States a specific verb+resource (get an article's content) and enumerates what comes back: content, highlights, notes, estimated reading time. That payload list implicitly separates it from list-oriented siblings like get_articles and from extract_article, but it never names or contrasts an alternative, so it falls short of the sibling-differentiation bar for a 5.
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?
Usage is only implied: an agent can infer 'call this with an article ID to read that article.' There is no when-to-use statement, no exclusions, and no routing between this and extract_article or get_articles, which are plausible alternatives for the same intent.
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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