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List NodajiFi everyday-knowledge cards

nodajifi_list_common_sense
Read-onlyIdempotent

NodajiFi's "good to know" cards: short practical and cultural facts (for example how to read laundry symbols) with a title, a few sentences and a category.

Input Schema

NameRequiredDescriptionDefault
langNoResponse language: ar, en, es, fr, id, ko, pt, vi. Default en; when nothing exists in that language the answer is in English (see lang in the result).
categoryNoCategory filter, e.g. practical or culture.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is fully covered. The description adds useful return-shape context (each card has a title, a few sentences, and a category) that substitutes for the missing output schema. It says nothing about result volume, pagination, ordering, or whether all cards are returned.

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?

A single front-loaded sentence with no filler; the example earns its place by making an abstract category concrete. The nested quoting around 'good to know' is slightly noisy but adds branding context rather than waste.

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

Completeness3/5

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

For a simple two-parameter read tool with full schema coverage and annotations, the description covers what the items are and their shape, which is the main gap given no output schema. It omits how many items come back and whether results can be paged or ordered, leaving an agent unsure what a call returns.

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 lang parameter's fallback-to-English behavior is documented in the schema itself. The description only echoes 'category' as an inherent property of a card rather than explaining the filter's accepted values or semantics. Baseline 3 is appropriate because the schema carries the parameter burden.

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 identifies the resource concretely: 'good to know' cards containing short practical and cultural facts, with a concrete example (reading laundry symbols). That is enough for an agent to tell it apart from siblings like nodajifi_list_news or nodajifi_list_quotes. It never states the verb itself (listing/retrieval) and instead relies on the title and name, which keeps it just short of 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 none of the sibling tools are named as alternatives. The agent must infer from the content description alone that this is for everyday practical/cultural lookups, and nothing explains how it differs from list_news or list_quotes in a selection scenario.

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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