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r3-yamauchi

kintone MCP Server (Python3)

by r3-yamauchi

get_records

Retrieve records from a kintone app by specifying an app ID, with options to filter results, select specific fields, and manage pagination for efficient data access.

Instructions

Get records from a kintone app

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appYesThe app ID
queryNoQuery string to filter records (optional)
fieldsNoList of field codes to retrieve (optional)
limitNoMaximum number of records to retrieve (default: 100, max: 500)
offsetNoOffset for pagination (default: 0)
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. While 'Get' implies a read operation, the description doesn't mention authentication requirements, rate limits, error conditions, or what the return format looks like. For a tool with 5 parameters and no output schema, this leaves significant behavioral gaps.

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 states the core purpose without unnecessary words. It's appropriately sized for a straightforward retrieval tool and gets directly to the point.

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?

Given the tool has 5 parameters, no annotations, and no output schema, the description is insufficiently complete. It doesn't explain what 'records' contain, how they're structured, what happens when no records match, or any limitations beyond what's implied by the parameter schema. For a data retrieval tool in a system with multiple similar tools, more context is needed.

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 all parameters are documented in the schema. The description doesn't add any meaningful parameter semantics beyond what's already in the schema descriptions. The baseline of 3 is appropriate when the schema does all the parameter documentation work.

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 verb ('Get') and resource ('records from a kintone app'), making the tool's purpose immediately understandable. However, it doesn't distinguish this tool from sibling tools like 'get_record' (singular) or 'get_all_records', leaving some ambiguity about scope and differentiation.

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. With siblings like 'get_record' (singular), 'get_all_records', and 'get_app' available, there's no indication of when this filtered/queryable retrieval is preferred over other record-fetching tools.

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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