get_item_reviews
Get all Review Hub reviews for a Codebeamer tracker item.
This record as markdown: /tools/3knightcz-codebeamer-mcp/get-item-reviews.md
What get_item_reviews does on Codebeamer
AI agents call get_item_reviews to retrieve information from Codebeamer without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_item_reviews is rated Low
This tool retrieves review data associated with a tracker item in Codebeamer. It performs a query/read operation that does not modify, delete, or execute any actions. The data returned is informational only. No financial, destructive, or code execution effects are possible.
From the tool's definition Tool name 'get_item_reviews' and description 'Get all Review Hub reviews' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
The rule that runs get_item_reviews safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Codebeamer, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_item_reviews, this is the rule to start with:
get_item_reviews 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 Codebeamer, apply this rule, and every get_item_reviews call is checked against it from then on.
Questions about get_item_reviews
Get all Review Hub reviews for a Codebeamer tracker item. It is categorised as a Read tool in the Codebeamer MCP Server, which means it retrieves data without modifying state.
Register the Codebeamer MCP server in PolicyLayer and add a rule for get_item_reviews: 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 Codebeamer. Nothing to install.
get_item_reviews 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 get_item_reviews 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 get_item_reviews. 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.
get_item_reviews is provided by the Codebeamer MCP server (3knightcz/codebeamer-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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