store_set
Store a key-value pair using the GLOBAL DataStoreService provider
This record as markdown: /tools/frontmcp/store-set.md
What store_set does on Frontmcp
AI agents use store_set to create or update resources in Frontmcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Frontmcp environment.
Why store_set is rated Medium
This tool writes data to a global data store, which is reversible (keys can be updated or cleared). It does not delete data irreversibly (Destructive), execute arbitrary code (Execute), move money (Financial), or merely read data (Read). The 'GLOBAL' scope and lack of access controls visible in the description suggest moderate blast radius if an agent stores malicious or sensitive data, warranting medium severity.
From the tool's definition Tool description states 'Store a key-value pair using the GLOBAL DataStoreService provider' — the verb 'Store' indicates creation or modification of data in a persistent store.
Attacks that exploit this kind of access
The rule that runs store_set safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Frontmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For store_set, this is the rule to start with:
store_set 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 Frontmcp, apply this rule, and every store_set call is checked against it from then on.
Questions about store_set
Store a key-value pair using the GLOBAL DataStoreService provider. It is categorised as a Write tool in the Frontmcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Front MCP server in PolicyLayer and add a rule for store_set: 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 Frontmcp. Nothing to install.
store_set 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 store_set 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 store_set. 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.
store_set is provided by the Front MCP server (agentfront/frontmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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