Low Risk

pitfalldb_query

Check for known failure patterns before executing a task type. Returns pitfalls with severity, fix suggestions, and confidence scores. After your agent runs, submit failures via pitfalldb_report so others benefit. Costs 2 credits.

Part of the Plith server.

pitfalldb_query is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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Free to start. No card required.

AI agents call pitfalldb_query to retrieve information from Plith without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though pitfalldb_query only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "pitfalldb_query": {}
  }
}

See the full Plith policy for all 15 tools.

Get this rule live on your own Plith server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access pitfalldb_query gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so pitfalldb_query only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the pitfalldb_query tool do? +

Check for known failure patterns before executing a task type. Returns pitfalls with severity, fix suggestions, and confidence scores. After your agent runs, submit failures via pitfalldb_report so others benefit. Costs 2 credits.. It is categorised as a Read tool in the Plith MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on pitfalldb_query? +

Register the Plith MCP server in PolicyLayer and add a rule for pitfalldb_query: 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 Plith. Nothing to install.

What risk level is pitfalldb_query? +

pitfalldb_query is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit pitfalldb_query? +

Yes. Add a rate_limit block to the pitfalldb_query 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.

How do I block pitfalldb_query completely? +

Set action: deny in the PolicyLayer policy for pitfalldb_query. 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.

What MCP server provides pitfalldb_query? +

pitfalldb_query is provided by the Plith MCP server (https://plith.ai/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Plith tool call.

Deterministic rules across all 15 Plith tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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