aasagenticawesomeskills__export_selection_evidence
Build a canonical, read-only aas-selection-evidence.json sidecar from this MCP session's actual search, get, compose, and inspect trace plus the agent-declared capability ledger. Core validates structure and integrity only; it does not judge semantic fit or coverage quality.
This record as markdown: /tools/ai-rokha-rokha/aasagenticawesomeskills--export-selection-evidence.md
What aasagenticawesomeskills__export_selection_evidence does on Rokha
AI agents use aasagenticawesomeskills__export_selection_evidence to create or update resources in Rokha, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Rokha environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
project | object | Yes | |
dimensions | array | Yes | |
capabilities | array | Yes | |
manifestDigest | string | Yes |
Parameters from the server's own tool schema.
Why aasagenticawesomeskills__export_selection_evidence is rated Medium
Creates a new JSON sidecar file from session data; reversible write operation with audit trail.
From the tool's definition Build a canonical, read-only aas-selection-evidence.json sidecar from trace
Risk signalsAccepts file system path (capabilities[].evidence[].path) · High parameter count (21 properties)
Attacks that exploit this kind of access
The rule that runs aasagenticawesomeskills__export_selection_evidence safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Rokha, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For aasagenticawesomeskills__export_selection_evidence, this is the rule to start with:
aasagenticawesomeskills__export_selection_evidence 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 Rokha, apply this rule, and every aasagenticawesomeskills__export_selection_evidence call is checked against it from then on.
Questions about aasagenticawesomeskills__export_selection_evidence
Build a canonical, read-only aas-selection-evidence.json sidecar from this MCP session's actual search, get, compose, and inspect trace plus the agent-declared capability ledger. Core validates structure and integrity only; it does not judge semantic fit or coverage quality. It is categorised as a Write tool in the Rokha MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
aasagenticawesomeskills__export_selection_evidence accepts 4 parameters: project, dimensions, capabilities, manifestDigest. Required: project, dimensions, capabilities, manifestDigest. The full parameter table on this page comes from the server's own tool schema.
Register the Rokha MCP server in PolicyLayer and add a rule for aasagenticawesomeskills__export_selection_evidence: 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 Rokha. Nothing to install.
aasagenticawesomeskills__export_selection_evidence 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 aasagenticawesomeskills__export_selection_evidence 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 aasagenticawesomeskills__export_selection_evidence. 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.
aasagenticawesomeskills__export_selection_evidence is provided by the Rokha MCP server (https://rokha.ai/mcp/jsonrpc). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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