Analyze a goal: show its type, parsed context, splittable variables, and suggested next actions. Use this to decide what proof step to take.
Part of the Agda server.
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AI agents call agda_goal_analysis to retrieve information from Agda without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though agda_goal_analysis only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"agda_goal_analysis": {}
}
}See the full Agda policy for all 72 tools.
These attack patterns abuse exactly the kind of access agda_goal_analysis gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Analyze a goal: show its type, parsed context, splittable variables, and suggested next actions. Use this to decide what proof step to take.. It is categorised as a Read tool in the Agda MCP Server, which means it retrieves data without modifying state.
Register the Agda MCP server in PolicyLayer and add a rule for agda_goal_analysis: 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 Agda. Nothing to install.
agda_goal_analysis 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 agda_goal_analysis 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 agda_goal_analysis. 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.
agda_goal_analysis is provided by the Agda MCP server (agda-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 72 Agda tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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