Capital efficiency analysis — find markets with the best risk/reward for a given bankroll. Uses Kelly Criterion to compute optimal position sizes and expected value. Returns markets ranked by edge (expected profit per dollar risked). For each market: - Edge = your estimated probability minus mark...
Part of the Telekash server.
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AI agents call get_edge to retrieve information from Telekash 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 get_edge 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": {
"get_edge": {}
}
}See the full Telekash policy for all 29 tools.
These attack patterns abuse exactly the kind of access get_edge 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.
Capital efficiency analysis — find markets with the best risk/reward for a given bankroll. Uses Kelly Criterion to compute optimal position sizes and expected value. Returns markets ranked by edge (expected profit per dollar risked). For each market: - Edge = your estimated probability minus market probability - Kelly fraction = optimal % of bankroll to allocate - Expected value per dollar risked - Risk classification (conservative/moderate/aggressive) Use this when an agent has limited capital and needs to maximize expected returns. Pairs with get_signal for probability estimates and track_prediction for accuracy tracking.. It is categorised as a Read tool in the Telekash MCP Server, which means it retrieves data without modifying state.
Register the Telekash MCP server in PolicyLayer and add a rule for get_edge: 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 Telekash. Nothing to install.
get_edge 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 get_edge 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 get_edge. 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.
get_edge is provided by the Telekash MCP server (telekash-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 29 Telekash tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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