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Get one article

get_article
Read-onlyIdempotent

Fetch a single article by slug, including its full Markdown body.

Use this after list_my_articles or search_articles has given you a slug and you need the actual content — for reading, editing, or repurposing it. Fetching one article at a time is deliberate: the listing tools omit bodies so they stay cheap.

Reads only; nothing is created or modified. Requires an API key for unpublished articles; published ones are readable without. Returns the article object with content_markdown populated. Errors if the slug does not exist or the account cannot see it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesURL slug of the article, e.g. 'how-we-cut-build-times'. Not the numeric id, and not the full URL.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changed
    • changedInput schema / properties / slug / description
      Previous value: -"The article slug"New value: +"URL slug of the article, e.g. 'how-we-cut-build-times'. Not the numeric id, and not the full URL."
  2. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Beyond the annotations (readOnlyHint, idempotentHint, destructiveHint false), the description adds useful context: 'Reads only; nothing is created or modified.' It also discloses the API key requirement for unpublished articles, states what is returned (article object with content_markdown populated), and defines error conditions (slug not found or account cannot see it). This supplements the annotation metadata effectively.

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?

The description is compact yet comprehensive: it opens with the purpose, then gives usage guidance and invokes the listing tools, and finally covers reads-only nature, auth nuance, return format, and error handling. Every sentence adds value, and it is front-loaded with the primary action. No fluff or repetition.

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

Completeness5/5

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

For a tool with one parameter, rich annotations, and no output schema, the description covers everything needed: what it returns (article object with content_markdown populated), auth requirements (API key for unpublished), and failure modes (non-existent slug or permission issue). The complexity is low, and the description is sufficiently complete to guide correct usage.

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% because the only parameter 'slug' is thoroughly described in the schema (e.g., not numeric id, not full URL, with an example). The tool description does not add extra parameter semantics beyond restating 'by slug' in the purpose. Baseline 3 is appropriate because the schema already carries the semantic load, and the description doesn't compensate further (nor need to).

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?

The description clearly states the action ('Fetch a single article by slug') and the resource/scope ('full Markdown body'). It distinguishes itself from sibling tools like list_my_articles and search_articles, which are about listing/searching, while this fetches a specific article.

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

Usage Guidelines5/5

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

Explicitly tells the agent when to use it: after list_my_articles or search_articles has provided a slug, and the actual content is needed. It also explains the deliberate trade-off (listing tools omit bodies for cheapness) and gives use cases (reading, editing, repurposing). This is strong usage guidance with clear sequencing and context.

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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TDQS

A4.4/5.0
Disambiguation5/5

Tools have clear, distinct purposes. Even similar tools like generate_title_seo and suggest_titles are clearly separated by input type (topic vs draft). The descriptions are exhaustive, preventing confusion.

Naming Consistency5/5

All tools use lowercase snake_case with verb-first naming. Slight inconsistency: 'upgrade' is a bare verb while others are verb_noun, but overall pattern is consistent.

Tool Count4/5

23 tools is a large but justifiable set for a full-featured blogging platform covering articles, series, reactions, newsletter, analytics, and AI assistance. It borders on the high end but remains scoped.

Completeness2/5

The tool set covers creation, publishing, updating, and listing of articles, but lacks delete operations for articles and series, and offers no comment management beyond reading. This leaves notable lifecycle gaps.