VARRD — Statistically Validated Trading Edges + AI Research Engine

reset_session

DestructiveIdempotent

Kill a broken research session and start fresh. Use this when a session gets stuck, produces errors, or enters a bad state. Free — no credits consumed. After resetting, call research without a session_id to start a new clean session.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "session_id": "<session_id>"
    },
    "name": "reset_session"
  }
}

Input Schema

Name	Required	Description	Default
`session_id`	Yes	The session_id to reset.

Output Schema

Name	Required	Description	Default
`reset`	No
`message`	No

Schema Changelog

Changes observed during successful MCP inspections.

Changed3 schema fields changedMay 5, 2026
- removedOutput schema / properties / message / description
```
Removed value: -"Confirmation message with next steps"
```
- removedOutput schema / properties / reset / description
```
Removed value: -"Always true on success"
```
- removedOutput schema / required
```
Removed value: -[
-  "reset",
-  "message"
-]
```

Changed1 schema field changedMay 4, 2026

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "properties": {
+    "message": {
+      "description": "Confirmation message with next steps",
+      "type": "string"
+    },
+    "reset": {
+      "description": "Always true on success",
+      "type": "boolean"
+    }
+  },
+  "required": [
+    "reset",
+    "message"
+  ],
+  "type": "object"
+}

First observedMar 1, 2026

TDQS

A4.9/5.0

Behavior5/5

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

Annotations already mark the tool as destructive and idempotent. The description adds valuable behavioral context beyond these hints: it notes the operation is free ('Free — no credits consumed') and that the old session is effectively discarded, letting the agent plan accordingly.

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

Conciseness5/5

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

The description is three sentences long, front-loaded with the purpose, and each sentence earns its place: what it does, when to use it, cost, and next step. No filler or redundancy.

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

Completeness5/5

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

Given the tool's simplicity (one required parameter), existing annotations, and an output schema, the description is complete. It covers when to use, cost implications, and the aftermath, leaving no critical gaps.

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?

Schema coverage is 100%, so the parameter description already explains session_id. The description adds context by specifying this is a 'research session' and explains that the next call should omit session_id, giving the parameter semantic meaning beyond the schema's generic wording.

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 opens with 'Kill a broken research session and start fresh' — a specific verb and resource that clearly states what the tool does. It distinguishes reset_session from sibling tools like search or buy_credits by focusing on session lifecycle management.

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

Usage Guidelines5/5

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

It explicitly states when to use the tool ('when a session gets stuck, produces errors, or enters a bad state') and provides a clear next step ('call research without a session_id'). The guidance is practical and unambiguous, covering the primary use case and follow-up action.

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

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