Score a skill assessment using answers and the assessment_token from generate_skill_assessment. Returns the raw score, percentage, proficiency band, gap vs target, and per-question results. When the learner falls short of the target band, includes a suggested_goal_seed you can pass to create_goal...
AI agents call score_skill_assessment to retrieve information from Unfold It MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool submits answers to be scored and retrieves computed results (scores, percentages, proficiency bands, per-facet breakdowns). It is fundamentally a read/query operation — it retrieves analytics/scoring data derived from provided inputs. While it accepts inputs (answers, token), the server-side effect is computation and return of results, not persistent data modification.
From the tool's definition Score a skill assessment using answers and the assessment_token... Returns the raw score, percentage, proficiency band, gap vs target, and per-question results
Attacks that exploit this kind of access
Score a skill assessment using answers and the assessment_token from generate_skill_assessment. Returns the raw score, percentage, proficiency band, gap vs target, and per-question results. When the learner falls short of the target band, includes a suggested_goal_seed you can pass to create_goal. PER-FACET AGGREGATION (since v0.7.0): Response also includes per_facet (one entry per sub-skill with total, correct, raw_pct, classification) and shortlists weak_facets + strong_facets. Aggregation is computed server-side from facets embedded in the signed token, so partners do not write join logic. The facet_coverage field tells you whether facet labels are real (. It is categorised as a Read tool in the Unfold It MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Unfold It MCP Server MCP server in PolicyLayer and add a rule for score_skill_assessment: 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 Unfold It MCP Server. Nothing to install.
score_skill_assessment 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 score_skill_assessment 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 score_skill_assessment. 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.
score_skill_assessment is provided by the Unfold It MCP Server MCP server (unfold-it/unfoldit-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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