util_amm_out_given_in
Constant-product AMM output amount for a given input size
This record as markdown: /tools/io-github-davidmosiah-delx-protocol/util-amm-out-given-in.md
What util_amm_out_given_in does on Delx Protocol — Agent Recovery & Continuity
AI agents call util_amm_out_given_in to retrieve information from Delx Protocol — Agent Recovery & Continuity without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
fee_bps | integer | Yes | Input field: fee bps. |
amount_in | integer | Yes | Input field: amount in. |
reserve_in | integer | Yes | Input field: reserve in. |
reserve_out | integer | Yes | Input field: reserve out. |
Parameters from the server's own tool schema.
Why util_amm_out_given_in is rated Low
Even though util_amm_out_given_in only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs util_amm_out_given_in safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Delx Protocol — Agent Recovery & Continuity, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For util_amm_out_given_in, this is the rule to start with:
util_amm_out_given_in is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Delx Protocol — Agent Recovery & Continuity, apply this rule, and every util_amm_out_given_in call is checked against it from then on.
Questions about util_amm_out_given_in
Constant-product AMM output amount for a given input size. It is categorised as a Read tool in the Delx Protocol — Agent Recovery & Continuity MCP Server, which means it retrieves data without modifying state.
util_amm_out_given_in accepts 4 parameters: fee_bps, amount_in, reserve_in, reserve_out. Required: fee_bps, amount_in, reserve_in, reserve_out. The full parameter table on this page comes from the server's own tool schema.
Register the Delx Protocol — Agent Recovery & Continuity MCP server in PolicyLayer and add a rule for util_amm_out_given_in: 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 Delx Protocol — Agent Recovery & Continuity. Nothing to install.
util_amm_out_given_in 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 util_amm_out_given_in 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 util_amm_out_given_in. 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.
util_amm_out_given_in is provided by the Delx Protocol — Agent Recovery & Continuity MCP server (https://api.delx.ai/v1/mcp?src=registry). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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