This record as markdown: /tools/a11y-agent-skills/report-result.md
What report_result does on A11y Agent Skills
AI agents use report_result to create or update resources in A11y Agent Skills, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your A11y Agent Skills environment.
Why report_result is rated Medium
Writes task results to audit logs; no deletion but modifies state and could affect compliance records.
From the tool's definition Report the result of the task. Creates audit/regression check records.
Attacks that exploit this kind of access
The rule that runs report_result safely
PolicyLayer is an MCP gateway: it sits between your AI agents and A11y Agent Skills, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For report_result, this is the rule to start with:
report_result 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 A11y Agent Skills, apply this rule, and every report_result call is checked against it from then on.
Questions about report_result
Report the result of the task. It is categorised as a Write tool in the A11y Agent Skills MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the A11y Agent Skills MCP server in PolicyLayer and add a rule for report_result: 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 A11y Agent Skills. Nothing to install.
report_result 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 report_result 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 report_result. 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.
report_result is provided by the A11y Agent Skills MCP server (smukh/a11y-agent-skills). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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