gbrain_think
Run multi-hop synthesis across wiki pages. Produces a cited answer
This record as markdown: /tools/agent-store/gbrain-think.md
What gbrain_think does on Agent Store
AI agents invoke gbrain_think to trigger actions in Agent Store. 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 gbrain_think is rated High
While 'gbrain_think' retrieves and synthesizes data from existing wiki pages (suggesting Read-like properties), the explicit action verb 'Run' combined with the complexity of 'multi-hop synthesis' indicates code execution of an algorithm or query engine. This crosses into Execute territory.
From the tool's definition Tool performs 'multi-hop synthesis' operations across wiki pages, which involves executing a defined computational workflow. The description indicates active processing ('Run', 'Produces') rather than passive retrieval.
Attacks that exploit this kind of access
The rule that runs gbrain_think safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Agent Store, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For gbrain_think, this is the rule to start with:
gbrain_think 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 Agent Store, apply this rule, and every gbrain_think call is checked against it from then on.
Questions about gbrain_think
Run multi-hop synthesis across wiki pages. Produces a cited answer. It is categorised as a Execute tool in the Agent Store MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Agent Store MCP server in PolicyLayer and add a rule for gbrain_think: 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 Agent Store. Nothing to install.
gbrain_think 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 gbrain_think 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 gbrain_think. 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.
gbrain_think is provided by the Agent Store MCP server (chrisluersen/agent-store). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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