Get kintone apps information by name or other filters
AI agents call get_apps to retrieve information from kintone MCP Server (Python3) without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves metadata about kintone applications (apps) without modifying or deleting data. It is a straightforward read-only query operation that returns information filtered by name or other criteria. The blast radius of misuse is minimal—returning app information poses no financial, destructive, or operational risk.
From the tool's definition Tool description: 'Get kintone apps information by name or other filters' - the verb 'Get' indicates data retrieval. Sibling tools include 'get_all_records', 'get_record', 'get_comments', 'get_form_fields', 'get_app', all read operations.
Attacks that exploit this kind of access
Get kintone apps information by name or other filters. It is categorised as a Read tool in the kintone MCP Server (Python3) MCP Server, which means it retrieves data without modifying state.
Register the kintone MCP Server (Python3) MCP server in PolicyLayer and add a rule for get_apps: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches kintone MCP Server (Python3). Nothing to install.
get_apps is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_apps rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for get_apps. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
get_apps is provided by the kintone MCP Server (Python3) MCP server (r3-yamauchi/kintone-mcp-server-python3). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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