AI agents call find_similar to retrieve information from Kanban without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The name 'find_similar' indicates a retrieval operation that searches for related items without modifying, deleting, or executing external operations. This is consistent with Read category tools. Confidence is moderate (0.7) because the description is empty, leaving some ambiguity about its exact implementation and scope.
From the tool's definition Tool name 'find_similar' suggests a search/query operation with no side effects. The description is empty, but the name pattern and context within a kanban board system indicate this retrieves or queries similar items (likely semantic search as mentioned in…
Documented attack patterns abuse exactly the kind of access find_similar gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Kanban, and nothing reaches the server without passing your rules. This is the rule we recommend for find_similar:
{
"version": "1",
"default": "deny",
"tools": {
"find_similar": {}
}
}find_similar is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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find_similar. It is categorised as a Read tool in the Kanban MCP Server, which means it retrieves data without modifying state.
Register the Kanban MCP server in PolicyLayer and add a rule for find_similar: 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 Kanban. Nothing to install.
find_similar 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 find_similar 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 find_similar. 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.
find_similar is provided by the Kanban MCP server (multidimensionalcats/kanban-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Kanban, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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45 Kanban tools catalogued and risk-classified — across an index of 43,000+ MCP servers.