Medium Risk

add_claims

Batch-friendly claim registration. Pass a claims array of 1 or more claim objects. Each claim's evidence.source_id must reference a source already registered via add_sources. The first error short-circuits and reports which index failed. A claim should be a single assertion; split compound claims...

Risk signalsAccepts URL/endpoint input (claims[].evidence[].url) · High parameter count (12 properties)

Part of the Prxhub server.

add_claims can modify Prxhub data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use add_claims to create or modify resources in Prxhub. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call add_claims repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Prxhub.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "add_claims": {
      "limits": [
        {
          "counter": "add_claims_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access add_claims 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 add_claims only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the add_claims tool do? +

Batch-friendly claim registration. Pass a claims array of 1 or more claim objects. Each claim's evidence.source_id must reference a source already registered via add_sources. The first error short-circuits and reports which index failed. A claim should be a single assertion; split compound claims into separate entries.. It is categorised as a Write tool in the Prxhub MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on add_claims? +

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

What risk level is add_claims? +

add_claims is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit add_claims? +

Yes. Add a rate_limit block to the add_claims 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 add_claims completely? +

Set action: deny in the PolicyLayer policy for add_claims. 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 add_claims? +

add_claims is provided by the Prxhub MCP server (https://prxhub.com/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 Prxhub tool call.

Deterministic rules across all 19 Prxhub tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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