Discover available tools and capabilities exposed by the server.
AI agents call tool_manifest to retrieve information from Context Engine MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs information retrieval by listing or describing available tools and their capabilities. It has no side effects, does not execute code, modify data, or trigger external operations. It is a purely informational/discovery mechanism similar to 'list' or 'get' operations, placing it squarely in the Read category with low severity.
From the tool's definition Tool name 'tool_manifest' and description 'Discover available tools and capabilities exposed by the server' indicate a query/discovery operation that retrieves metadata about available tools without modifying any state or triggering external operations.
Documented attack patterns abuse exactly the kind of access tool_manifest gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Context Engine MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for tool_manifest:
{
"version": "1",
"default": "deny",
"tools": {
"tool_manifest": {}
}
} tool_manifest is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Discover available tools and capabilities exposed by the server. It is categorised as a Read tool in the Context Engine MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Context Engine MCP Server MCP server in PolicyLayer and add a rule for tool_manifest: 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 Context Engine MCP Server. Nothing to install.
tool_manifest 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 tool_manifest 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 tool_manifest. 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.
tool_manifest is provided by the Context Engine MCP Server MCP server (kirachon/context-engine). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Context Engine MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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50 Context Engine MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.