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raumnebenan

get_article_details_by_slugs

Returns a list of published articles by their exact slugs slugs for example overview from the provided raumnebenan source. Use this when you already know the exact article slugs from the Reader structure pillar story article. If the slugs are unknown use search_articles first and then get_articles_by_uuids. Use only this tool output do not use external or inferred data. If required information is missing in this source respond that it is not available in the provided source. Only JSON RPC 2.0 requests are supported.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
article_slugsYesA list of article slugs

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
articlesNo

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the burden. It discloses that only published articles are returned, requires exact slugs, specifies the data source, instructs how to respond when information is missing, and notes that only JSON RPC 2.0 requests are supported. This goes beyond minimal disclosure, though it doesn't mention pagination or error specifics.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is somewhat wordy and contains a typo ('slugs slugs') and an awkward phrase. It front-loads the main purpose but then mixes usage guidance, source constraints, and protocol in a way that could be more organized. Not concise enough for a top score.

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 tool with an output schema, the description covers the essential context: function, usage, alternatives, source-specific behavior, and protocol. The main gap is clarity of the source phrase, but overall it is sufficiently 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 the schema already explains the parameter. The description adds emphasis on 'exact' slugs and gives an example, but no additional semantic detail beyond that. This aligns with the baseline of 3 for high schema coverage.

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?

The description states the tool returns published articles by exact slugs, which is a specific verb+resource. It also distinguishes itself from siblings by noting to use it only when slugs are already known. However, the phrase 'from the Reader structure pillar story article' is confusing and the typo 'slugs slugs' detracts from clarity.

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?

Provides explicit usage guidance: use when you know the exact slugs, and if unknown, use search_articles first then get_articles_by_uuids. It also includes a constraint to only use this tool's output and not external or inferred data, which is clear and actionable.

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

A4.1/5.0
Disambiguation5/5

Each tool has a clear, distinct purpose: list tools for enumeration, get tools for retrieval by specific identifiers or filters, and search for free-text discovery. The two get_article_details variants are clearly differentiated by slug vs. UUID usage, and get_articles_by_tag vs. search_articles are distinct in their input criteria.

Naming Consistency4/5

The naming pattern is predominantly consistent with list_* for all-resource retrieval, get_*_by_* for filtered access, and search_* for discovery. Minor deviations include the verbose 'get_article_details_by_slugs' vs. the simpler 'get_articles_by_tag', and a description in search_articles referring to a non-existent 'get_article_by_id' tool.

Tool Count5/5

Eight tools provide a well-scoped surface for a read-only content API covering categories, stories, and articles. The count is neither too sparse nor overwhelming, and each tool contributes a unique retrieval mode.

Completeness4/5

The tool set covers the essential read operations: listing all entities, fetching by identifiers, filtering by tag or category, and text search. Minor gaps include no direct story-by-slug retrieval and no search across stories, but these are workable via existing tools.

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