Low Risk

edgar_company_concept

AUTHORITATIVE historical financials for any US public company. Source: SEC XBRL filings (the official numbers companies file, not third-party scrapes). Pass a ticker or CIK plus a friendly metric name — Revenue, NetIncomeLoss, Cash, LongTermDebt, EarningsPerShareDiluted — and the tool resolves th...

Part of the Edgar server.

edgar_company_concept 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 edgar_company_concept to retrieve information from Edgar 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 edgar_company_concept 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": {
    "edgar_company_concept": {}
  }
}

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These attack patterns abuse exactly the kind of access edgar_company_concept 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 edgar_company_concept 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 edgar_company_concept tool do? +

AUTHORITATIVE historical financials for any US public company. Source: SEC XBRL filings (the official numbers companies file, not third-party scrapes). Pass a ticker or CIK plus a friendly metric name — Revenue, NetIncomeLoss, Cash, LongTermDebt, EarningsPerShareDiluted — and the tool resolves the right XBRL tag for that filer (post-ASC-606 companies use RevenueFromContractWithCustomerExcludingAssessedTax instead of "Revenues", etc.). Returns annual values with fiscal years, period ends, filing types. Use for "what was AAPL's revenue in 2024", "show me NVDA's long-term debt trend", anything where you need the SEC-filed number rather than an estimate.. It is categorised as a Read tool in the Edgar MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on edgar_company_concept? +

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

What risk level is edgar_company_concept? +

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

Can I rate-limit edgar_company_concept? +

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

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

edgar_company_concept is provided by the Edgar MCP server (https://gateway.pipeworx.io/edgar/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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