Low Risk

get_task_proofs

Get all proof items submitted by the operator for a task. Returns metadata, GPS stamps, and validation results. Three levels of proof content: (1) default returns metadata + hasThumbnail flags (lightweight), (2) set includeThumbnails=true to include all thumbnailBase64 inline (~5-15KB each), (3) ...

Risk signalsHandles credentials or secrets (apiKey)

Part of the Molt2Meet server.

get_task_proofs 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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AI agents call get_task_proofs to retrieve information from Molt2Meet 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 get_task_proofs 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": {
    "get_task_proofs": {}
  }
}

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

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so get_task_proofs 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 get_task_proofs tool do? +

Get all proof items submitted by the operator for a task. Returns metadata, GPS stamps, and validation results. Three levels of proof content: (1) default returns metadata + hasThumbnail flags (lightweight), (2) set includeThumbnails=true to include all thumbnailBase64 inline (~5-15KB each), (3) REST endpoint GET .../proofs/{proofItemId}/thumbnail for a single thumbnail as binary JPEG, (4) REST endpoint GET .../proofs/{proofItemId}/content?format=raw for full-resolution binary download. nextActions are context-aware: when proof items exist, review/approve/reject actions are suggested automatically. Requires authentication.. It is categorised as a Read tool in the Molt2Meet MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_task_proofs? +

Register the Molt2Meet MCP server in PolicyLayer and add a rule for get_task_proofs: 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 Molt2Meet. Nothing to install.

What risk level is get_task_proofs? +

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

Can I rate-limit get_task_proofs? +

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

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

get_task_proofs is provided by the Molt2Meet MCP server (https://molt.molt2meet.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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