Assess prompt clarity using multiple rule-based and LLM-based metrics
AI agents call prompt.evaluate_clarity to retrieve information from ContextForge MCP Gateway without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs an assessment or evaluation of prompt clarity—a purely analytical operation. It reads input (a prompt) and returns computed metrics/scores. No data is created, modified, deleted, or irreversibly changed; no external code or commands are executed; no financial transactions occur. This is a classic Read category tool: it retrieves/queries data and produces informational output.
From the tool's definition Tool name 'evaluate_clarity' and description 'Assess prompt clarity using multiple rule-based and LLM-based metrics' indicates a read-only analysis operation that retrieves or computes metrics without modifying, creating, executing external actions, or…
Attacks that exploit this kind of access
Assess prompt clarity using multiple rule-based and LLM-based metrics. It is categorised as a Read tool in the ContextForge MCP Gateway MCP Server, which means it retrieves data without modifying state.
Register the ContextForge MCP Gateway MCP server in PolicyLayer and add a rule for prompt.evaluate_clarity: 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 ContextForge MCP Gateway. Nothing to install.
prompt.evaluate_clarity 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 prompt.evaluate_clarity 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 prompt.evaluate_clarity. 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.
prompt.evaluate_clarity is provided by the ContextForge MCP Gateway MCP server (jrmatherly/mcp-context-forge). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →