search_knowledge

Search wiki pages and knowledge files (battle cards, playbooks, competitive intel). Returns matching content ranked by relevance.

SERVERAdrata SOURCE@adrata/adrata-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/adrata-adrata-mcp/search-knowledge.md

WHAT IT DOES

What search_knowledge does on Adrata

AI agents call search_knowledge to retrieve information from Adrata 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_knowledge is rated Low

Even though search_knowledge only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs search_knowledge safely

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

search_knowledge Allowed

search_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_knowledge": {}
  }
}

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

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

FAQ

Questions about search_knowledge

What does the search_knowledge tool do? +

Search wiki pages and knowledge files (battle cards, playbooks, competitive intel). Returns matching content ranked by relevance. It is categorised as a Read tool in the Adrata MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_knowledge? +

Register the Adrata MCP server in PolicyLayer and add a rule for search_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 Adrata. Nothing to install.

What risk level is search_knowledge? +

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

Can I rate-limit search_knowledge? +

Yes. Add a rate_limit block to the search_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_knowledge completely? +

Set action: deny in the PolicyLayer policy for search_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_knowledge? +

search_knowledge is provided by the Adrata MCP server (@adrata/adrata-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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