Find every thesis past its horizon with no outcome yet, and grade each via score_thesis_outcome. Operates on the caller's own theses by default; can target any user when called with customer_id from a full-tier (admin) token. Returns a summary + per-thesis results. Idempotent — a re-call only re-...
Risk signalsBulk/mass operation — affects multiple targets · Admin/system-level operation
Part of the Valuein — SEC EDGAR Fundamentals & Smart-Money Data server.
Free to start. No card required.
AI agents call score_due_theses to retrieve information from Valuein — SEC EDGAR Fundamentals & Smart-Money Data 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 score_due_theses 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.
{
"version": "1",
"default": "deny",
"tools": {
"score_due_theses": {}
}
}See the full Valuein — SEC EDGAR Fundamentals & Smart-Money Data policy for all 68 tools.
These attack patterns abuse exactly the kind of access score_due_theses gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Find every thesis past its horizon with no outcome yet, and grade each via score_thesis_outcome. Operates on the caller's own theses by default; can target any user when called with customer_id from a full-tier (admin) token. Returns a summary + per-thesis results. Idempotent — a re-call only re-grades anything not already graded.. It is categorised as a Read tool in the Valuein — SEC EDGAR Fundamentals & Smart-Money Data MCP Server, which means it retrieves data without modifying state.
Register the Valuein — SEC EDGAR Fundamentals & Smart-Money Data MCP server in PolicyLayer and add a rule for score_due_theses: 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 Valuein — SEC EDGAR Fundamentals & Smart-Money Data. Nothing to install.
score_due_theses is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the score_due_theses 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 score_due_theses. 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.
score_due_theses is provided by the Valuein — SEC EDGAR Fundamentals & Smart-Money Data MCP server (https://mcp.valuein.biz/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 68 Valuein — SEC EDGAR Fundamentals & Smart-Money Data 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.