Skip to main content
Glama
Sign In
junai-mcp

junai-mcp

by saajunaid
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

set_pipeline_mode

Control AI agent autonomy by switching pipeline mode between supervised, assisted, or autopilot.

Instructions

Set the pipeline mode to supervised, assisted, or autopilot.

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": {
      "mode": "<mode>"
    },
    "name": "set_pipeline_mode"
  }
}

Input Schema

NameRequiredDescriptionDefault
modeYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.18

TDQS

B3.2/5.0
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It only states the action without describing side effects, state requirements, or potential destructiveness. This is insufficient for an agent to understand implications.

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 a single sentence with no unnecessary words. It is front-loaded with the action and immediately lists the options, making it highly efficient.

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

Completeness3/5

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

Given the tool's simplicity (one parameter) and the presence of an output schema, the description provides minimal but adequate context. However, it lacks explanation of the pipeline mode concept or when setting it is appropriate, which would be helpful for an agent navigating sibling tools.

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 input schema has 0% coverage (no descriptions or enums for the 'mode' parameter). The description explicitly lists the three acceptable values ('supervised, assisted, or autopilot'), compensating for the schema gap and adding meaning.

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

Purpose4/5

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

The description clearly states the action (set) and the resource (pipeline mode), and lists the three acceptable values (supervised, assisted, autopilot). It distinguishes from sibling tools like get_pipeline_status (read) or pipeline_init (initialization).

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives, such as other pipeline control tools. There is no mention of prerequisites, context, or exclusion criteria.

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

Deploy Server

Other Tools