get_ontology_next_action

Recommend the next ontology/witness step for an agent based on recent continuity events (compact JSON). Free Delx Protocol tool.

SERVERDelx Mcp A2a SOURCEhttps://api.delx.ai/v1/mcp

Low RISK CLASS

Category Read

Parameters 50 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-davidmosiah-delx-mcp-a2a/get-ontology-next-action.md

WHAT IT DOES

What get_ontology_next_action does on Delx Mcp A2a

AI agents call get_ontology_next_action to retrieve information from Delx Mcp A2a 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
`goal`	string	—	Optional short goal (handoff, witness, reflection).
`agent_id`	string	—	Stable agent id when no session_id is available.
`last_tool`	string	—	Optional last Delx primitive called.
`session_id`	string	—	Optional active session UUID.
`current_goal`	string	—	Alias for goal used by the public v0.3 contract.

Parameters from the server's own tool schema.

RISK

Why get_ontology_next_action is rated Low

Even though get_ontology_next_action 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

RECOMMENDED RULE

The rule that runs get_ontology_next_action safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Delx Mcp A2a, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_ontology_next_action, this is the rule to start with:

get_ontology_next_action Allowed

get_ontology_next_action is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_ontology_next_action": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Delx Mcp A2a, apply this rule, and every get_ontology_next_action call is checked against it from then on.

FAQ

Questions about get_ontology_next_action

What does the get_ontology_next_action tool do? +

Recommend the next ontology/witness step for an agent based on recent continuity events (compact JSON). Free Delx Protocol tool. It is categorised as a Read tool in the Delx Mcp A2a MCP Server, which means it retrieves data without modifying state.

What parameters does get_ontology_next_action accept? +

get_ontology_next_action accepts 5 parameters: goal, agent_id, last_tool, session_id, current_goal. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on get_ontology_next_action? +

Register the Delx Mcp A2a MCP server in PolicyLayer and add a rule for get_ontology_next_action: 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 Mcp A2a. Nothing to install.

What risk level is get_ontology_next_action? +

get_ontology_next_action is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_ontology_next_action? +

Yes. Add a rate_limit block to the get_ontology_next_action 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 get_ontology_next_action completely? +

Set action: deny in the PolicyLayer policy for get_ontology_next_action. 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 get_ontology_next_action? +

get_ontology_next_action is provided by the Delx Mcp A2a MCP server (https://api.delx.ai/v1/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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