This record as markdown: /tools/eda-agent/app-set-intent.md
What app_set_intent does on Eda Agent
AI agents use app_set_intent to create or update resources in Eda Agent, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Eda Agent environment.
Why app_set_intent is rated Medium
Without an explicit description, classification relies on the 'set_' prefix which conventionally indicates Write operations (state modification). However, the empty description significantly lowers confidence.
From the tool's definition Tool name 'app_set_intent' lacks a description. Based on naming patterns in the sibling tools (app_get_*, app_set_*), this appears to be a setter that modifies application state or intent. The 'set' prefix indicates mutation rather than retrieval.
Attacks that exploit this kind of access
The rule that runs app_set_intent safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Eda Agent, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For app_set_intent, this is the rule to start with:
app_set_intent 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Eda Agent, apply this rule, and every app_set_intent call is checked against it from then on.
Questions about app_set_intent
app_set_intent is a write tool on the Eda Agent MCP server. It is categorised as a Write tool in the Eda Agent MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Eda Agent MCP server in PolicyLayer and add a rule for app_set_intent: 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 Eda Agent. Nothing to install.
app_set_intent 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 app_set_intent 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 app_set_intent. 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.
app_set_intent is provided by the Eda Agent MCP server (salitronic/eda-agent). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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