This record as markdown: /tools/io-github-dave-london-github/tree.md
What tree does on Github
AI agents call tree to retrieve information from Github without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why tree is rated Low
This tool retrieves and presents dependency information from a Rust project, a read-only operation with no side effects. It does not modify files, execute code, delete data, or commit financial transactions. The blast radius of misuse is minimal—worst case, an AI agent views dependency information it shouldn't access, which is a data confidentiality concern rather than an operational risk.
From the tool's definition Tool 'tree' "Displays the dependency tree for a Rust project." — uses 'Displays' indicating retrieval of existing project metadata with no modification or execution of code.
Attacks that exploit this kind of access
The rule that runs tree safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Github, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For tree, this is the rule to start with:
tree is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Github, apply this rule, and every tree call is checked against it from then on.
Questions about tree
Displays the dependency tree for a Rust project. It is categorised as a Read tool in the Github MCP Server, which means it retrieves data without modifying state.
Register the Github MCP server in PolicyLayer and add a rule for tree: 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 Github. Nothing to install.
tree is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the tree 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 tree. 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.
tree is provided by the Github MCP server (@paretools/github). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Github, and thousands of servers like it.
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