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get_articles

Read-only

Query published architectural blueprints, SOC 2 Type II compliance guides, and Kubernetes SRE articles with pagination.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagNoTag filter (e.g. Kubernetes, SRE, FinOps, SOC 2, Multi-Cloud, Antigravity)
limitNoMax number of articles to return (default: 10)
offsetNoOffset for pagination (default: 0)
categoryNoArticle category filter

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
totalYes
articlesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

The readOnlyHint/destructiveHint annotations already establish the safe-read profile, so the bar is lower. The description contributes the 'published' qualifier (drafts likely excluded) and the fact that results are paginated, but omits anything about ordering, rate limits, or what happens beyond limit=50.

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?

One front-loaded sentence with no filler sentences. The enumerated content types (SOC 2 guides, Kubernetes SRE articles) lean toward marketing copy rather than selection-relevant detail, but the sentence remains tight.

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?

An output schema exists and annotations cover the safety profile, so return values and read/write behavior need no elaboration. The remaining gap is that the description never mentions tag/category filtering as a capability, but for a low-complexity read tool the definition is essentially complete.

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%, so tag, limit, offset, and category are fully documented in the schema itself; baseline 3 applies. The description adds no filter syntax or default-value detail beyond what the schema already provides.

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 clear verb ('Query') plus the resource (articles) and scopes it to published content across named domains (blueprints, SOC 2 guides, Kubernetes SRE). An agent can distinguish it from the singular get_article_by_slug by the plural collection scope, though it never explicitly names that sibling.

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

Usage Guidelines2/5

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

The description says nothing about when to use this collection endpoint versus get_article_by_slug or search_knowledge_base, two obvious alternatives in the sibling list. Pagination is mentioned but framed as a feature, not as guidance for choosing this tool over a search tool.

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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