poetry
Runs Poetry commands and returns structured output. Supports install, add, remove, show, build, update, lock, check, and export actions.
This record as markdown: /tools/io-github-dave-london-pare-python/poetry.md
What poetry does on Python
AI agents invoke poetry to trigger actions in Python. 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
path | string | — | Working directory |
tree | boolean | — | Show dependency tree, for show action (--tree) |
group | string | — | Dependency group for install/add/remove (e.g. 'dev') |
action | string | Yes | Poetry action to perform |
dryRun | boolean | — | Preview changes without applying, for install/add/remove (--dry-run) |
format | string | — | Build output format for build action |
latest | boolean | — | Show latest available version, for show action (--latest) |
output | string | — | Output file for export action (-o FILE) |
compact | boolean | — | Prefer compact output |
outdated | boolean | — | Show only outdated packages, for show action (--outdated) |
packages | array | — | Packages for add/remove actions |
exportFormat | string | — | Export format for export action |
Parameters from the server's own tool schema.
Why poetry is rated High
This tool executes Poetry commands including package installation, addition, removal, and build operations. These actions modify the environment and dependency state. The 'remove' action could be destructive, and 'install'/'add' can introduce arbitrary packages.
From the tool's definition Runs Poetry commands and returns structured output. Supports install, add, remove, show, build, update, lock, check, and export actions.
Risk signalsAccepts file system path (path) · High parameter count (13 properties)
Attacks that exploit this kind of access
The rule that runs poetry safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Python, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For poetry, this is the rule to start with:
poetry 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 Python, apply this rule, and every poetry call is checked against it from then on.
Questions about poetry
Runs Poetry commands and returns structured output. Supports install, add, remove, show, build, update, lock, check, and export actions. It is categorised as a Execute tool in the Python MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
poetry accepts 12 parameters: path, tree, group, action, dryRun, format, latest, output, compact, outdated, packages, exportFormat. Required: action. The full parameter table on this page comes from the server's own tool schema.
Register the Python MCP server in PolicyLayer and add a rule for poetry: 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 Python. Nothing to install.
poetry 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 poetry 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 poetry. 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.
poetry is provided by the Python 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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