invoke_tool
A execute tool on the API-Central MCP server.
This record as markdown: /tools/secure-ssid-centralmcp/invoke-tool.md
What invoke_tool does on API-Central
AI agents invoke invoke_tool to trigger actions in API-Central. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why invoke_tool is rated High
invoke_tool appears to be a meta-tool that dynamically invokes other tools on the server. Given the server's scope—device provisioning, configuration changes, and network operations—this likely permits execution of arbitrary network commands whose effects depend on arguments. The empty description increases uncertainty but the name and context indicate code/command execution capability.
From the tool's definition Tool name 'invoke_tool' combined with server context providing 88 tools for network operations (device migration, switch provisioning, configuration management).
Attacks that exploit this kind of access
The rule that runs invoke_tool safely
PolicyLayer is an MCP gateway: it sits between your AI agents and API-Central, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For invoke_tool, this is the rule to start with:
invoke_tool stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect API-Central, apply this rule, and every invoke_tool call is checked against it from then on.
Questions about invoke_tool
invoke_tool is a execute tool on the API-Central MCP server. It is categorised as a Execute tool in the API-Central MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the API-Central MCP server in PolicyLayer and add a rule for invoke_tool: 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 API-Central. Nothing to install.
invoke_tool is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the invoke_tool 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 invoke_tool. 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.
invoke_tool is provided by the API-Central MCP server (secure-ssid/centralmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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