update_lead_comment
Update one comment belonging to an exact lead; comments attached elsewhere are rejected. Markdown native references are preserved.
This record as markdown: /tools/io-github-dearlordylord-huly-mcp/update-lead-comment.md
What update_lead_comment does on Huly
AI agents use update_lead_comment to create or update resources in Huly, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Huly environment.
Why update_lead_comment is rated Medium
Modifies an existing comment reversibly without deletion or destructive effects.
From the tool's definition Update one comment belonging to an exact lead; comments attached elsewhere are rejected.
Attacks that exploit this kind of access
The rule that runs update_lead_comment safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Huly, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For update_lead_comment, this is the rule to start with:
update_lead_comment stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Huly, apply this rule, and every update_lead_comment call is checked against it from then on.
Questions about update_lead_comment
Update one comment belonging to an exact lead; comments attached elsewhere are rejected. Markdown native references are preserved. It is categorised as a Write tool in the Huly MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Huly MCP server in PolicyLayer and add a rule for update_lead_comment: 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 Huly. Nothing to install.
update_lead_comment is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the update_lead_comment 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 update_lead_comment. 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.
update_lead_comment is provided by the Huly MCP server (@firfi/huly-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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