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statutoryletters

Get a published article

get_blog_article
Read-onlyIdempotent

Returns the full text of one StatutoryLetters article by slug, for detailed, accurate answers on a specific UK statutory rights topic.

Input Schema

NameRequiredDescriptionDefault
slugYesThe article slug returned by list_blog_articles.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / properties / slug / maxLength
      Added value: +120
    • addedInput schema / properties / slug / minLength
      Added value: +1
    • addedInput schema / properties / slug / pattern
      Added value: +"^[a-z0-9-]+$"
  2. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint and openWorldHint=false, so safety and repeatability are covered structurally. The description usefully adds that the response is the *full* text (as opposed to a summary or excerpt), but says nothing about article length, truncation, or error behavior for unknown slugs.

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 sentence, front-loaded with the action and payload ('Returns the full text of one ... article by slug') before the rationale. There is no filler or repetition, though the trailing topical clause is slightly 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?

For a single-parameter read tool with full schema coverage and annotations covering safety, the description supplies the essential missing fact — that the return value is the complete article text. No output schema exists, so a brief note on what the body contains would be nice, but the definition is largely sufficient to call it correctly.

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 single slug parameter is already documented with pattern, length bounds and provenance ('returned by list_blog_articles'). The description adds only the redundant phrase 'by slug', so the schema does the heavy lifting — baseline 3.

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 specific verb and resource — 'Returns the full text of one StatutoryLetters article by slug' — which is unambiguous. It implicitly contrasts with the sibling list_blog_articles ('one' vs. listing) but never names it, so the differentiation is inferential rather than explicit.

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 clause 'for detailed, accurate answers on a specific UK statutory rights topic' gives a use context, but there is no explicit when-to-use/when-not guidance and no routing to list_blog_articles for discovering slugs or to other siblings like get_letter_type. Usage is implied rather than directed.

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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