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Nanukamachi MCP

List shops and sights

list-spots
Read-only

Search shops, restaurants, cafes, sights, and accommodation on Nanukamachi-dori. Returns slugs, names, categories, tags, and short summaries.

Input Schema

NameRequiredDescriptionDefault
genreNoeat/tabe = restaurants and cafes, miru = sights and shops, yado = accommodation.
limitNoMaximum number of results (1-50).
queryNoFree-text keyword in Japanese or Traditional Chinese.
localeNoContent language. Defaults to Japanese.ja
categoryNoOptional data category such as japanesefood, western, ramen, gift, history, building, or antique.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety and closed-world profile is covered. The description adds real value by disclosing the return shape (slugs, names, categories, tags, summaries), which is meaningful since there is no output schema. It says nothing about result ordering, total counts, empty-result behavior, or how limit interacts with the search, so it is solid but not rich.

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?

Two sentences with zero filler. The capability and scope come first, the return payload second, which is exactly the right front-loading for an agent scanning tool definitions.

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?

With five optional parameters, no required inputs, and no output schema, the description covers the two things an agent most needs: what can be searched and what comes back. Only minor gaps remain, such as pagination semantics and whether results are ranked, which are low-risk for a read-only list tool.

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%, including enum glosses for genre (eat/tabe/miru/yado) and locale, plus a concrete category example list. The description adds no parameter meaning beyond that, so the baseline 3 applies: the schema does all the semantic work here.

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 gives a specific verb ('Search') plus the concrete resource types (shops, restaurants, cafes, sights, accommodation) and even pins the geographic scope to Nanukamachi-dori. It also enumerates the returned fields (slugs, names, categories, tags, summaries). It stops short of an explicit contrast with the singular sibling get-spot, so a 4 rather than a 5.

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?

There is no when-to-use or when-not-to-use guidance and no mention of alternatives. Nothing tells the agent that get-spot is the right tool once a slug from this list is in hand, or how this differs from get-archive or search-archives. Usage is only inferable from the name and the entity types listed.

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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