update_api_parameter

Update an existing API parameter (partial update).

SERVEREnterprise-Multi-Agent-Engine SOURCEMojtaba-Dehghani/Enterprise-Multi-Agent-Engine

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/enterprise-multi-agent-engine/update-api-parameter.md

WHAT IT DOES

What update_api_parameter does on Enterprise-Multi-Agent-Engine

AI agents use update_api_parameter to create or update resources in Enterprise-Multi-Agent-Engine, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Enterprise-Multi-Agent-Engine environment.

RISK

Why update_api_parameter is rated Medium

Modifies API configuration reversibly; potential for breaking integrations but not irreversible destruction.

From the tool's definition Update an existing API parameter (partial update)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs update_api_parameter safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Enterprise-Multi-Agent-Engine, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For update_api_parameter, this is the rule to start with:

update_api_parameter Rate-limited

update_api_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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "update_api_parameter": {
      "limits": [
        {
          "counter": "update_api_parameter_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Enterprise-Multi-Agent-Engine, apply this rule, and every update_api_parameter call is checked against it from then on.

FAQ

Questions about update_api_parameter

What does the update_api_parameter tool do? +

Update an existing API parameter (partial update). It is categorised as a Write tool in the Enterprise-Multi-Agent-Engine MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_api_parameter? +

Register the Enterprise-Multi-Agent-Engine MCP server in PolicyLayer and add a rule for update_api_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 Enterprise-Multi-Agent-Engine. Nothing to install.

What risk level is update_api_parameter? +

update_api_parameter is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit update_api_parameter? +

Yes. Add a rate_limit block to the update_api_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.

How do I block update_api_parameter completely? +

Set action: deny in the PolicyLayer policy for update_api_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.

What MCP server provides update_api_parameter? +

update_api_parameter is provided by the Enterprise-Multi-Agent-Engine MCP server (Mojtaba-Dehghani/Enterprise-Multi-Agent-Engine). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Enterprise-Multi-Agent-Engine, and thousands of servers like it.

This server

All 262 Enterprise-Multi-Agent-Engine tools →

Across the catalogue

aroflo_create_or_update_record on AroFlo MCP →team_manager_update_budget on Team Manager MCP → The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →