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kite-connect-mcp

kite-connect-mcp

Safety settings and today's usage

get_safety_status
Read-onlyIdempotent

Check trading safety controls before planning an order: dry-run/live mode, read-only status, order/value caps, allow-lists, kill switch, and live activity today.

Instructions

How this server guards writes: trading mode (dry_run or live), read-only, how live writes are confirmed, the per-order / daily value caps and order count, the allow-lists, whether the kill switch is on, and what has been sent live today (counted from the audit log). Call this before planning any order.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_safety_status"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.3/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so safety of the call is covered. The description adds real value beyond that by disclosing data provenance ('counted from the audit log') and the risk semantics of what is being reported (live vs dry_run writes, kill switch, caps). It doesn't describe the response shape or formatting, which keeps it from a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with a framing clause ('How this server guards writes') followed by a dense but scannable enumeration, then a single directive sentence. Every clause carries information, though the long comma-separated list is slightly harder to parse than a short bulleted framing would be.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description must carry the burden of describing return values, and it does so by naming each reported field category. It is complete enough to decide whether to call it, though it omits how the status is formatted or what happens if login state is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to disambiguate beyond what the empty schema already conveys. Baseline 4 applies; no parameter meaning is added or needed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource precisely and enumerates its contents: trading mode (dry_run or live), read-only flag, live-write confirmation, per-order/daily value caps, order counts, allow-lists, kill-switch state, and today's live sends. This clearly distinguishes it from siblings like get_audit_log or engage_kill_switch, which report raw events or mutate state rather than summarizing guardrails.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The closing directive 'Call this before planning any order' gives a concrete, actionable precondition. It doesn't name an alternative tool or state when not to call it, so it stops short of full when/when-not coverage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.