Low Risk

adas_validate_solution

Validate a solution definition — cross-skill contracts, grant economy, handoffs, and LLM quality scoring.

Part of the ADAS server.

adas_validate_solution 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 adas_validate_solution to retrieve information from ADAS 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 adas_validate_solution 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": {
    "adas_validate_solution": {}
  }
}

See the full ADAS policy for all 12 tools.

Get this rule live on your own ADAS 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 adas_validate_solution 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 adas_validate_solution 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 adas_validate_solution tool do? +

Validate a solution definition — cross-skill contracts, grant economy, handoffs, and LLM quality scoring.. It is categorised as a Read tool in the ADAS MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on adas_validate_solution? +

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

What risk level is adas_validate_solution? +

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

Can I rate-limit adas_validate_solution? +

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

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

adas_validate_solution is provided by the ADAS MCP server (ateam-ai/ateam). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every ADAS tool call.

Deterministic rules across all 12 ADAS tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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