get_reader_expertise_interview
Get a fluency INTERVIEW kit (domain candidates + "which is clearest?" protocol) so a host CoS can gauge how FO should talk to this operator. Use when onboarding, partner MCP connect, or speech feels too dumbed-down or too jargony. After human yes, call update_reader_profile — fluency follows them...
This record as markdown: /tools/com-getfreedomos-freedom-mcp/get-reader-expertise-interview.md
What get_reader_expertise_interview does on Freedom Mcp
AI agents call get_reader_expertise_interview to retrieve information from Freedom Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
companyId | string | — | FreedomOS company id to act within (you must be a member). Required for company-scoped tools. |
member_name | string | — | Optional display name (defaults to "the operator"). |
Parameters from the server's own tool schema.
Why get_reader_expertise_interview is rated Low
This tool queries and returns interview materials and fluency assessment data for onboarding purposes. It has no side effects on its own—it only reads/retrieves information. The write action (updating the profile) is explicitly delegated to a different tool (update_reader_profile). No data is deleted, no code is executed, and no financial operations occur.
From the tool's definition Tool name contains 'get_' and description states it retrieves an 'interview kit' to 'gauge' fluency levels. The primary action is reading/retrieving assessment data and candidate information ('domain candidates + protocol').
Attacks that exploit this kind of access
The rule that runs get_reader_expertise_interview safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Freedom Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_reader_expertise_interview, this is the rule to start with:
get_reader_expertise_interview is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Freedom Mcp, apply this rule, and every get_reader_expertise_interview call is checked against it from then on.
Questions about get_reader_expertise_interview
Get a fluency INTERVIEW kit (domain candidates + "which is clearest?" protocol) so a host CoS can gauge how FO should talk to this operator. Use when onboarding, partner MCP connect, or speech feels too dumbed-down or too jargony. After human yes, call update_reader_profile — fluency follows them across companies. It is categorised as a Read tool in the Freedom Mcp MCP Server, which means it retrieves data without modifying state.
get_reader_expertise_interview accepts 2 parameters: companyId, member_name. The full parameter table on this page comes from the server's own tool schema.
Register the Freedom MCP server in PolicyLayer and add a rule for get_reader_expertise_interview: 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 Freedom Mcp. Nothing to install.
get_reader_expertise_interview 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 get_reader_expertise_interview 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 get_reader_expertise_interview. 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.
get_reader_expertise_interview is provided by the Freedom MCP server (https://twuluxmoognlwtmaoqgo.supabase.co/functions/v1/freedom-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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