Show the current constraint set for the loaded file.
Part of the Agda server.
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AI agents use agda_constraints to create or modify resources in Agda. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call agda_constraints repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Agda.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"agda_constraints": {
"limits": [
{
"counter": "agda_constraints_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Agda policy for all 72 tools.
These attack patterns abuse exactly the kind of access agda_constraints gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Show the current constraint set for the loaded file.. It is categorised as a Write tool in the Agda MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Agda MCP server in PolicyLayer and add a rule for agda_constraints: 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_constraints is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the agda_constraints 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_constraints. 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_constraints 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.
Free to start. No card required.
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