get_check_results
Collect the results of a background static-check run: by runId, else the newest run for a ticket, else the newest run overall. Returns the run
This record as markdown: /tools/ai-featureboard-featureboard/get-check-results.md
What get_check_results does on FeatureBoard
AI agents call get_check_results to retrieve information from FeatureBoard without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_check_results is rated Low
This tool only reads data from completed static-check runs. It does not create, modify, delete, or execute any operations. The 'collect results' and 'returns the run' language indicates pure data retrieval with no side effects. Severity is low because exposing test/check results poses minimal risk—an agent cannot misuse this to cause harm.
From the tool's definition 'Collect the results of a background static-check run' — the tool retrieves and returns check results without modifying, deleting, or executing anything. It is a query/fetch operation.
Attacks that exploit this kind of access
The rule that runs get_check_results safely
PolicyLayer is an MCP gateway: it sits between your AI agents and FeatureBoard, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_check_results, this is the rule to start with:
get_check_results 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 FeatureBoard, apply this rule, and every get_check_results call is checked against it from then on.
Questions about get_check_results
Collect the results of a background static-check run: by runId, else the newest run for a ticket, else the newest run overall. Returns the run. It is categorised as a Read tool in the FeatureBoard MCP Server, which means it retrieves data without modifying state.
Register the FeatureBoard MCP server in PolicyLayer and add a rule for get_check_results: 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 FeatureBoard. Nothing to install.
get_check_results 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_check_results 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_check_results. 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_check_results is provided by the FeatureBoard MCP server (https://github.com/valentil/featureboard-mcp/releases/download/v0.7/featureboard.plugin). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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