get_feature_manifest

Get the local feature manifest: CLI commands, MCP tools, profiles, and env vars.

Server Todos @hasna/todos
Category Read
Risk class Low
Parameters 00 required

What get_feature_manifest does on Todos

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

Why get_feature_manifest needs a policy

This tool retrieves and queries the feature manifest (CLI commands, MCP tools, profiles, and environment variables) without modifying any data or triggering external operations. It is a straightforward read operation with minimal security impact.

From the tool's definition Tool name is 'get_feature_manifest' and description states 'Get the local feature manifest' — uses the verb 'get' and performs retrieval only, with no modification or side effects.

Questions about get_feature_manifest

What does the get_feature_manifest tool do? +

Get the local feature manifest: CLI commands, MCP tools, profiles, and env vars. It is categorised as a Read tool in the Todos MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_feature_manifest? +

Register the Todos MCP server in PolicyLayer and add a rule for get_feature_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 Todos. Nothing to install.

What risk level is get_feature_manifest? +

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

Can I rate-limit get_feature_manifest? +

Yes. Add a rate_limit block to the get_feature_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.

How do I block get_feature_manifest completely? +

Set action: deny in the PolicyLayer policy for get_feature_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.

What MCP server provides get_feature_manifest? +

get_feature_manifest is provided by the Todos MCP server (@hasna/todos). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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