Paired-Twin Change Trials
Checkpoint-paired twin trials for agent fleet changes with blinded verdicts.
Should I use this
Quality & Safety
Findings (1)
- LOWTool 'trial_unblind' description lacks action verbin trial_unblind
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"paired-twin-change-trials-for-agents": {
"url": "https://textforagents.com/products/paired-twin-change-trials-for-agents/mcp"
}
}
}Remote endpoints
https://textforagents.com/products/paired-twin-change-trials-for-agents/mcpstreamable-httpWhat it can do
Tool inventory
Tools (7)
⚪trial_register_protocol(protocol, checkpoint, treated_config)
Register a hash-bound trial protocol; twins fork from the identical checkpoint, exactly one registered variable may differ.
Input Schema
{
"type": "object",
"properties": {
"protocol": {
"type": "object"
},
"checkpoint": {
"type": "object"
},
"treated_config": {
"type": "object"
}
},
"required": [
"protocol",
"checkpoint",
"treated_config"
]
}⚪trial_fork_pair(trial_id, task)
Fork a checkpoint-paired assignment for one task (blinded arms A/B).
Input Schema
{
"type": "object",
"properties": {
"trial_id": {
"type": "string"
},
"task": {
"type": "object"
}
},
"required": [
"trial_id",
"task"
]
}⚪trial_run_pair(trial_id, task)
Run one pair with the deterministic scripted agent and score blind. $0.25/pair, first 10 free once per operator.
Input Schema
{
"type": "object",
"properties": {
"trial_id": {
"type": "string"
},
"task": {
"type": "object"
}
},
"required": [
"trial_id",
"task"
]
}🟡trial_submit_outputs(trial_id, task, control_output, treated_output)
Submit the operator twins' outputs for one pair; blinded deterministic scoring. $0.25/pair, first 10 free once per operator.
Input Schema
{
"type": "object",
"properties": {
"trial_id": {
"type": "string"
},
"task": {
"type": "object"
},
"control_output": {},
"treated_output": {}
},
"required": [
"trial_id",
"task",
"control_output",
"treated_output"
]
}🟡trial_score(trial_id, task, control_output, treated_output)
Alias of trial_submit_outputs (blinded scoring).
Input Schema
{
"type": "object",
"properties": {
"trial_id": {
"type": "string"
},
"task": {
"type": "object"
},
"control_output": {},
"treated_output": {}
},
"required": [
"trial_id",
"task",
"control_output",
"treated_output"
]
}⚪trial_verdict(trial_id)
Trial verdict under the enforced stopping rule.
Input Schema
{
"type": "object",
"properties": {
"trial_id": {
"type": "string"
}
},
"required": [
"trial_id"
]
}⚪trial_unblind(trial_id)
Unblind after the verdict; hashed signed receipt covering every pair.
Input Schema
{
"type": "object",
"properties": {
"trial_id": {
"type": "string"
}
},
"required": [
"trial_id"
]
}Community
Evidence