run_pytest
Run pytest from the repository root.
This record as markdown: /tools/mapi-agent-memory/run-pytest.md
What run_pytest does on Mapi Agent Memory
AI agents invoke run_pytest to trigger actions in Mapi Agent Memory. 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 run_pytest is rated High
pytest execution can trigger arbitrary test code, modify repository state (create temp files, fixtures with side effects), and potentially interact with external systems depending on test definitions. While not inherently destructive, the ability to execute code in a controlled test environment still represents a significant risk if an AI agent invokes it with malicious or unintended test selections.
From the tool's definition Tool description states 'Run pytest from the repository root' — this directly executes code (pytest test runner) whose effects depend on which tests are selected and the state of the repository.
Risk signalsAdmin/system-level operation
Attacks that exploit this kind of access
The rule that runs run_pytest safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mapi Agent Memory, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For run_pytest, this is the rule to start with:
run_pytest 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 Mapi Agent Memory, apply this rule, and every run_pytest call is checked against it from then on.
Questions about run_pytest
Run pytest from the repository root. It is categorised as a Execute tool in the Mapi Agent Memory MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mapi Agent Memory MCP server in PolicyLayer and add a rule for run_pytest: 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 Mapi Agent Memory. Nothing to install.
run_pytest 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 run_pytest 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 run_pytest. 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.
run_pytest is provided by the Mapi Agent Memory MCP server (cabo0m/mapi-agent-memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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