Fetch GRADE-methodology evidence ratings for a set of evidence record IDs. Returns each record's study type, evidence grade (A/B/C/D), confidence level, PMID, and clinical relevance summary. Use this to programmatically evaluate the strength of evidence behind a set of references.
Part of the Hormonaly Clinical Intelligence server.
Free to start. No card required.
AI agents use evidence_grade to create or modify resources in Hormonaly Clinical Intelligence. 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 evidence_grade 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 Hormonaly Clinical Intelligence.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"evidence_grade": {
"limits": [
{
"counter": "evidence_grade_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Hormonaly Clinical Intelligence policy for all 24 tools.
These attack patterns abuse exactly the kind of access evidence_grade gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Fetch GRADE-methodology evidence ratings for a set of evidence record IDs. Returns each record's study type, evidence grade (A/B/C/D), confidence level, PMID, and clinical relevance summary. Use this to programmatically evaluate the strength of evidence behind a set of references.. It is categorised as a Write tool in the Hormonaly Clinical Intelligence MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Hormonaly Clinical Intelligence MCP server in PolicyLayer and add a rule for evidence_grade: 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 Hormonaly Clinical Intelligence. Nothing to install.
evidence_grade is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the evidence_grade 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.
Set action: deny in the PolicyLayer policy for evidence_grade. 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.
evidence_grade is provided by the Hormonaly Clinical Intelligence MCP server (https://mcp.hormonaly.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 24 Hormonaly Clinical Intelligence 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.