search_agent_knowledge

Semantic search across an agent

SERVERProAgentStore SOURCEhttps://mcp.proagentstore.online/mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/io-github-proagentstore-platform/search-agent-knowledge.md

WHAT IT DOES

What search_agent_knowledge does on ProAgentStore

AI agents call search_agent_knowledge to retrieve information from ProAgentStore without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why search_agent_knowledge is rated Low

This tool performs a search operation, which is a read-only query that retrieves information without creating, modifying, deleting, or executing code. The semantic search returns results but does not alter any state. Low severity because misuse would only expose information already accessible within the agent's knowledge store.

From the tool's definition Tool name 'search_agent_knowledge' and description 'Semantic search across an agent' indicate data retrieval with no modification or side effects.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs search_agent_knowledge safely

PolicyLayer is an MCP gateway: it sits between your AI agents and ProAgentStore, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For search_agent_knowledge, this is the rule to start with:

search_agent_knowledge Allowed

search_agent_knowledge is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "search_agent_knowledge": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect ProAgentStore, apply this rule, and every search_agent_knowledge call is checked against it from then on.

FAQ

Questions about search_agent_knowledge

What does the search_agent_knowledge tool do? +

Semantic search across an agent. It is categorised as a Read tool in the ProAgentStore MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_agent_knowledge? +

Register the ProAgentStore MCP server in PolicyLayer and add a rule for search_agent_knowledge: 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 ProAgentStore. Nothing to install.

What risk level is search_agent_knowledge? +

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

Can I rate-limit search_agent_knowledge? +

Yes. Add a rate_limit block to the search_agent_knowledge 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_agent_knowledge completely? +

Set action: deny in the PolicyLayer policy for search_agent_knowledge. 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_agent_knowledge? +

search_agent_knowledge is provided by the ProAgentStore MCP server (https://mcp.proagentstore.online/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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