tiktok_ads_catalog_diagnostics
TikTok’s own diagnosis of a catalog — every detected issue at CRITICAL or WARNING level across product attributes, product review, catalog configuration, pixel/event problems and feed or file-upload failures, each carrying the reason AND TikTok’s suggested fix. This is the tool for
This record as markdown: /tools/hermoso/tiktok-ads-catalog-diagnostics.md
What tiktok_ads_catalog_diagnostics does on Hermoso
AI agents use tiktok_ads_catalog_diagnostics to create or update resources in Hermoso, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Hermoso environment.
Why tiktok_ads_catalog_diagnostics is rated Medium
An AI agent can call tiktok_ads_catalog_diagnostics faster than any human can review: one bad instruction and it creates or modifies resources in Hermoso by the hundred, each call as confident as the last.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs tiktok_ads_catalog_diagnostics safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Hermoso, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For tiktok_ads_catalog_diagnostics, this is the rule to start with:
tiktok_ads_catalog_diagnostics 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 Hermoso, apply this rule, and every tiktok_ads_catalog_diagnostics call is checked against it from then on.
Questions about tiktok_ads_catalog_diagnostics
TikTok’s own diagnosis of a catalog — every detected issue at CRITICAL or WARNING level across product attributes, product review, catalog configuration, pixel/event problems and feed or file-upload failures, each carrying the reason AND TikTok’s suggested fix. This is the tool for. It is categorised as a Write tool in the Hermoso MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Hermoso MCP server in PolicyLayer and add a rule for tiktok_ads_catalog_diagnostics: 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 Hermoso. Nothing to install.
tiktok_ads_catalog_diagnostics 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 tiktok_ads_catalog_diagnostics 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 tiktok_ads_catalog_diagnostics. 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.
tiktok_ads_catalog_diagnostics is provided by the Hermoso MCP server (https://app.hermoso.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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