Finish a capture session: verifies endpoints and writes skill files.
AI agents use apitap_capture_finish to create or update resources in ApiTap — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your ApiTap environment.
The tool finalizes a capture session by verifying captured endpoints and writing skill files to storage. This is a Write operation (creating/modifying files) with no indication of irreversible destruction. Medium severity because it writes structured files that could overwrite existing skills, but the effects are generally reversible.
From the tool's definition 'writes skill files' — the tool creates or modifies files on the filesystem as part of finishing a capture session
Documented attack patterns abuse exactly the kind of access apitap_capture_finish gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and ApiTap, and nothing reaches the server without passing your rules. This is the rule we recommend for apitap_capture_finish:
{
"version": "1",
"default": "deny",
"tools": {
"apitap_capture_finish": {
"limits": [
{
"counter": "apitap_capture_finish_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}apitap_capture_finish 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.
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Finish a capture session: verifies endpoints and writes skill files. It is categorised as a Write tool in the ApiTap MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the ApiTap MCP server in PolicyLayer and add a rule for apitap_capture_finish: 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 ApiTap. Nothing to install.
apitap_capture_finish 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 apitap_capture_finish 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 apitap_capture_finish. 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.
apitap_capture_finish is provided by the ApiTap MCP server (n1byn1kt/apitap). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from ApiTap, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
12 ApiTap tools catalogued and risk-classified — across an index of 43,000+ MCP servers.