AI agents call pleasanter_advanced_search to retrieve information from Pleasanter MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries data from the Pleasanter system based on search criteria. It performs a read-only operation that does not create, modify, delete, or execute external actions. The sibling tools like 'delete_issue', 'create_issue', and 'update_issue' are separate, confirming this tool is limited to querying.
From the tool's definition Tool name contains 'search' and description translates to 'Search Pleasanter issues by specifying advanced search conditions' — a query operation with no data modification or side effects.
Documented attack patterns abuse exactly the kind of access pleasanter_advanced_search gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Pleasanter MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for pleasanter_advanced_search:
{
"version": "1",
"default": "deny",
"tools": {
"pleasanter_advanced_search": {}
}
}pleasanter_advanced_search is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
高度な検索条件を指定してPleasanterの課題を検索します. It is categorised as a Read tool in the Pleasanter MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Pleasanter MCP Server MCP server in PolicyLayer and add a rule for pleasanter_advanced_search: 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 Pleasanter MCP Server. Nothing to install.
pleasanter_advanced_search 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 pleasanter_advanced_search 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 pleasanter_advanced_search. 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.
pleasanter_advanced_search is provided by the Pleasanter MCP Server MCP server (takashi-matsumura/pleasanter-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Pleasanter MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
9 Pleasanter MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.