Low Risk

validate_codes

Validate a mixed batch of medical codes against their source terminologies. Useful for retrospective analysis of legacy databases — flag codes that no longer exist, surface ICD-10 → ICD-11 replacements, and grade activity status where the terminology exposes it. For each input { code, terminology...

Risk signalsAccepts freeform code/query input (codes[].code)

Part of the Medical Terminologies server.

validate_codes 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 validate_codes to retrieve information from Medical Terminologies 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 validate_codes 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": {
    "validate_codes": {}
  }
}

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Get this rule live on your own Medical Terminologies 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 validate_codes 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 validate_codes 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 validate_codes tool do? +

Validate a mixed batch of medical codes against their source terminologies. Useful for retrospective analysis of legacy databases — flag codes that no longer exist, surface ICD-10 → ICD-11 replacements, and grade activity status where the terminology exposes it. For each input { code, terminology }, returns: - valid: whether the code exists in the source terminology. - active: whether the code is currently active. Null when the source doesn't expose an explicit active/inactive distinction at category level (CID-10, ATC, ICD-11, RxNorm, MeSH all return null today; SNOMED and LOINC return a real boolean). - title: the official label/name when available. - replaced_by: a successor code, populated today only for ICD-10 codes that have a primary ICD-11 mapping in the bundled WHO transition tables. - source: human-readable provenance of the validation (terminology + release/version). - error: non-null only when validation couldn't be performed (network error, SNOMED feature flag off, etc.). valid: false + error: null means "code not found"; valid: false + error: set means "couldn't validate". Terminology is required per code — auto-detection isn't supported because category codes like "A00" exist in both ICD-10 and CID-10. Accepted values: icd11, icd10, snomed, loinc, rxnorm, mesh, atc, cid10. Hard cap of 50 codes per call; codes are validated in parallel through their respective clients, so total wall time scales with the slowest upstream + its rate limit (worst case ~10 s for a full batch hitting ICD-11).. It is categorised as a Read tool in the Medical Terminologies MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on validate_codes? +

Register the Medical Terminologies MCP server in PolicyLayer and add a rule for validate_codes: 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 Medical Terminologies. Nothing to install.

What risk level is validate_codes? +

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

Can I rate-limit validate_codes? +

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

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

validate_codes is provided by the Medical Terminologies MCP server (SidneyBissoli/medical-terminologies-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Medical Terminologies tool call.

Deterministic rules across all 31 Medical Terminologies tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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