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Get one castle in full

get_castle

Fetch one landmark’s full record by slug (preferred, e.g. "palace-of-versailles") or exact name: coordinates, founding year and century, worldwide fame rank, photo URL with photographer credit and licence, Wikipedia link and its readership signals (Wikidata sitelinks, Wikipedia pageviews over the last 60 days summed across its largest language editions). Unsure of the slug? Call search_castles first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
castleYesSlug (preferred, e.g. "himeji-castle") or exact name

TDQS

A4.7/5.0
Behavior4/5

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

No annotations are present, so the description carries the full burden. It clearly implies a read-only 'Fetch' operation and discloses the full set of return data, including licensing and readership signals. However, it does not mention error handling, not-found behavior, or rate limits, which prevents a perfect score.

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 a single dense paragraph with every clause adding value: it specifies the resource, input format, return fields, and usage guidance. No filler or redundant text is present.

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 simple getter with one parameter and no output schema, the description covers the input requirements, return value contents, and fallback to search_castles. It omits error cases or what happens if no match is found, but these are minor gaps for a fetch-by-identifier tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema only says 'Slug (preferred, e.g. "himeji-castle") or exact name', but the description enriches this by showing the exact example 'palace-of-versailles', emphasizing the preferred format, and adding the fallback advice. This goes well beyond the schema's generic parameter description.

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 uses a specific verb ('Fetch') and resource ('one landmark's full record'), and lists the specific fields returned (coordinates, founding year, fame rank, photo, Wikipedia link, readership signals). It also distinguishes itself from search_castles by specifying that it takes a slug or exact name, making the tool's scope clear.

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?

The description explicitly says 'Unsure of the slug? Call search_castles first', providing a clear alternative path. It also states the preferred input format (slug) vs exact name, giving direct guidance on when to use this tool versus searching.

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

Each tool has a clearly distinct purpose: geospatial search (castles_near), single-record retrieval (get_castle), aggregate statistics (get_statistics), country overviews (list_countries), random discovery (random_castle), name-based search (search_castles), and fame-based rankings (top_castles). The only slight overlap between list_countries and get_statistics is minimal and both descriptions clearly separate them.

Naming Consistency4/5

All tool names use lowercase snake_case and are self-explanatory, but they mix verb-first patterns (get_, list_, search_) with adjective or noun-first patterns (random_castle, top_castles, castles_near). This is a minor deviation from a fully consistent verb_noun convention, though the inconsistency does not hinder readability.

Tool Count5/5

With 7 tools, the set is well-scoped for a castle atlas. Each tool covers a distinct need—search, get, near, top, random, stats, countries—without redundancy or bloat.

Completeness4/5

The toolset covers most read-oriented workflows: finding, retrieving, ranking, and statistics. A notable gap is the lack of a way to list all castles in a country or category without a name search term; search_castles requires a name substring and top_castles returns only the most famous. This is a workaround by using search with a broad term, but it's not a first-class operation.