AI agents use add_parameter to create or update resources in Ast Editor — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ast Editor environment.
The tool adds a parameter to a function or method definition, which is a reversible code modification. This falls under Write (creates/modifies data reversibly). Severity is high because adding parameters can break function signatures, introduce type mismatches, or alter behavior in ways that cascade through codebases—an AI agent misusing this could corrupt significant portions of code structure.
From the tool's definition Tool name 'add_parameter' with sibling tools including 'add_field', 'add_method', 'add_import' that modify code structure.
Documented attack patterns abuse exactly the kind of access add_parameter gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Ast Editor, and nothing reaches the server without passing your rules. This is the rule we recommend for add_parameter:
{
"version": "1",
"default": "deny",
"tools": {
"add_parameter": {
"limits": [
{
"counter": "add_parameter_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}add_parameter stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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add_parameter. It is categorised as a Write tool in the Ast Editor MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Ast Editor MCP server in PolicyLayer and add a rule for add_parameter: 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 Ast Editor. Nothing to install.
add_parameter 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 add_parameter 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 add_parameter. 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.
add_parameter is provided by the Ast Editor MCP server (kambleakash0/agent-skills). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Ast Editor, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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59 Ast Editor tools catalogued and risk-classified — across an index of 43,000+ MCP servers.