list_disagreements
Where does the field disagree? Returns cross-book tension names and the books on each pole (title, author, library_id) plus the guide URL. Filter by slug, persona, or category. Names and provenance only — no passages.
This record as markdown: /tools/com-aiengineerprofessional-guide-registry/list-disagreements.md
What list_disagreements does on Guide Registry
AI agents call list_disagreements to retrieve information from Guide Registry 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 |
|---|---|---|---|
slug | string | — | One guide, e.g. start-a-company. When set, persona/category are ignored. |
limit | number | — | Cap rows returned. Default 100, max 500. |
persona | string | — | Audience filter, e.g. people-analytics-professional. |
category | string | — | Subject shelf, e.g. field, skills, analytics. |
Parameters from the server's own tool schema.
Why list_disagreements is rated Low
Even though list_disagreements 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
The rule that runs list_disagreements safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Guide Registry, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_disagreements, this is the rule to start with:
list_disagreements 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 Guide Registry, apply this rule, and every list_disagreements call is checked against it from then on.
Questions about list_disagreements
Where does the field disagree? Returns cross-book tension names and the books on each pole (title, author, library_id) plus the guide URL. Filter by slug, persona, or category. Names and provenance only — no passages. It is categorised as a Read tool in the Guide Registry MCP Server, which means it retrieves data without modifying state.
list_disagreements accepts 4 parameters: slug, limit, persona, category. The full parameter table on this page comes from the server's own tool schema.
Register the Guide Registry MCP server in PolicyLayer and add a rule for list_disagreements: 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 Guide Registry. Nothing to install.
list_disagreements 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 list_disagreements 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 list_disagreements. 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.
list_disagreements is provided by the Guide Registry MCP server (https://aiengineerprofessional.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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