mypy
Runs mypy and returns structured type-check diagnostics (file, line, severity, message, code).
This record as markdown: /tools/io-github-dave-london-build/mypy.md
What mypy does on Build
AI agents invoke mypy to trigger actions in Build. 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 mypy is rated High
The tool runs an external command (mypy) on the system, which constitutes code/tool execution. While mypy is a read-only static analysis tool by nature, it executes an external process whose behavior depends on arguments (e.g., which files or directories are analyzed). Misuse could involve pointing it at unintended paths or consuming significant resources.
From the tool's definition 'Runs mypy' — explicitly executes the mypy type-checker as an external process
Attacks that exploit this kind of access
The rule that runs mypy safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Build, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For mypy, this is the rule to start with:
mypy 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 Build, apply this rule, and every mypy call is checked against it from then on.
Questions about mypy
Runs mypy and returns structured type-check diagnostics (file, line, severity, message, code). It is categorised as a Execute tool in the Build MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Build MCP server in PolicyLayer and add a rule for mypy: 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 Build. Nothing to install.
mypy 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 mypy 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 mypy. 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.
mypy is provided by the Build MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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