This record as markdown: /tools/abraflexi/evidence-lock.md
What evidence_lock does on AbraFlexi
AI agents use evidence_lock to create or update resources in AbraFlexi, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AbraFlexi environment.
Why evidence_lock is rated Medium
An AI agent can call evidence_lock faster than any human can review: one bad instruction and it creates or modifies resources in AbraFlexi by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs evidence_lock safely
PolicyLayer is an MCP gateway: it sits between your AI agents and AbraFlexi, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For evidence_lock, this is the rule to start with:
evidence_lock 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 AbraFlexi, apply this rule, and every evidence_lock call is checked against it from then on.
Questions about evidence_lock
evidence_lock is a write tool on the AbraFlexi MCP server. It is categorised as a Write tool in the AbraFlexi MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the AbraFlexi MCP server in PolicyLayer and add a rule for evidence_lock: 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 AbraFlexi. Nothing to install.
evidence_lock 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 evidence_lock 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 evidence_lock. 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.
evidence_lock is provided by the AbraFlexi MCP server (abraflexi-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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