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Touseef-ahmad

nestjs-langgraph-mcp

Main Agent

main_agent

Handles any request by executing tools for employee data, analytics, reporting, and approval workflows.

Instructions

The main orchestration agent that can handle any request by leveraging all available tools.

Capabilities:

  • Direct tool execution for queries

  • Employee data: list employees, find by name

  • Analytics: engagement scores, trends, project health, timestamps

  • Reporting: structured report generation

  • Approval: risk assessment and approval workflows

Use this as the primary interface for all requests.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesThe user request to process
Behavior3/5

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

No annotations are provided, so the description carries full burden. It lists capabilities but offers no details on behavioral traits like error handling, delegation logic, or rate limits. The description is adequate but lacks depth.

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?

The description is well-structured with bullet points and front-loaded purpose. It is slightly verbose but each sentence adds value; could be tightened but is still effective.

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 one parameter, no output schema, and no annotations, the description lists capabilities adequately. However, it could be more complete by clarifying behavioral boundaries or expected outcomes for the 'handle any request' claim.

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

Parameters3/5

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

Schema coverage is 100% with one parameter 'prompt' described as 'The user request to process.' The description adds no additional meaning beyond the schema, so a baseline of 3 is appropriate.

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 clearly states the tool as the main orchestration agent that handles any request by leveraging all available tools, and lists specific capabilities. It distinguishes from siblings like health and list_agents by positioning itself as the primary interface.

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?

Explicitly states 'Use this as the primary interface for all requests,' giving clear guidance on when to use. However, it does not mention when not to use or refer to alternatives among siblings.

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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