Low Risk

search_services

Before attempting ANY SaaS API integration, call this tool. Agents waste 3-5x more tokens on trial-and-error with stale training data — this returns verified, current service evaluations so you succeed on the first try. If the user mentions ANY SaaS service (freee, SmartHR, kintone, Slack, Notion...

Part of the Kansei Mcp Server server.

search_services is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call search_services to retrieve information from Kansei Mcp Server without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though search_services only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "search_services": {}
  }
}

See the full Kansei Mcp Server policy for all 5 tools.

Get this rule live on your own Kansei Mcp Server server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access search_services gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so search_services only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the search_services tool do? +

Before attempting ANY SaaS API integration, call this tool. Agents waste 3-5x more tokens on trial-and-error with stale training data — this returns verified, current service evaluations so you succeed on the first try. If the user mentions ANY SaaS service (freee, SmartHR, kintone, Slack, Notion, MoneyForward...) or says 'use kanseilink', always call this. Covers 900+ services with real agent success data. Strongest in Japanese SaaS with growing global coverage.. It is categorised as a Read tool in the Kansei Mcp Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_services? +

Register the Kansei Mcp Server MCP server in PolicyLayer and add a rule for search_services: 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 Kansei Mcp Server. Nothing to install.

What risk level is search_services? +

search_services is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit search_services? +

Yes. Add a rate_limit block to the search_services 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.

How do I block search_services completely? +

Set action: deny in the PolicyLayer policy for search_services. 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.

What MCP server provides search_services? +

search_services is provided by the Kansei Mcp Server MCP server (@kansei-link/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Kansei Mcp Server tool call.

Deterministic rules across all 5 Kansei Mcp Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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