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r3-yamauchi

kintone MCP Server (Python3)

by r3-yamauchi

get_apps

Retrieve kintone application information using filters like name, ID, code, or space to find and manage apps in your workspace.

Instructions

Get kintone apps information by name or other filters

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoPartial match for app name (case-insensitive)
idsNoList of app IDs to retrieve
codesNoList of app codes to retrieve (exact match, case-sensitive)
space_idsNoList of space IDs to filter apps
limitNoMaximum number of apps to retrieve (default: 100, max: 100)
offsetNoOffset for pagination (default: 0)
Behavior2/5

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

With no annotations provided, the description carries full burden but offers minimal behavioral information. It mentions filtering but doesn't describe return format, pagination behavior, error conditions, authentication requirements, or rate limits. For a tool with 6 parameters and no annotation coverage, this is insufficient.

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, efficient sentence that communicates the core functionality without unnecessary words. It's appropriately sized for a retrieval tool and front-loads the essential information.

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

Completeness2/5

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

For a tool with 6 parameters, no annotations, and no output schema, the description is inadequate. It doesn't explain what information is returned, how results are structured, or important behavioral aspects like pagination defaults. The agent would struggle to use this tool effectively without trial-and-error.

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 fully documents all 6 parameters. The description adds minimal value beyond the schema by mentioning 'name or other filters' but doesn't provide additional context about parameter interactions, precedence, or combined usage. Baseline 3 is appropriate when schema does the heavy lifting.

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 clearly states the action ('Get') and resource ('kintone apps information'), and specifies filtering capabilities ('by name or other filters'). However, it doesn't explicitly differentiate from sibling tools like 'get_app' (singular vs plural), which could cause confusion about when to use each.

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?

The description provides no guidance on when to use this tool versus alternatives like 'get_app' (singular) or 'get_all_records'. There's no mention of prerequisites, context for filtering, or comparison with sibling tools that might retrieve similar data.

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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