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get_po_agent

Retrieve details about the Product Owner Agent to understand its role and capabilities within the MCP Agents server environment.

Instructions

Get information about the Product Owner Agent

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The handler function for the 'get_po_agent' tool. It is registered using the @mcp.tool decorator and simply returns the predefined PO agent profile from AGENT_PROFILES.
    @mcp.tool("get_po_agent", description="Get information about the Product Owner Agent")
    def get_po_agent() -> Dict:
        """Returns the Product Owner Agent's profile, capabilities, and limitations."""
        return AGENT_PROFILES["po_agent"]
  • The data structure defining the Product Owner Agent's profile, capabilities, limitations, and prompt, which is returned by the get_po_agent tool.
        "po_agent": {
            "name": "Product Owner Agent",
            "description": "A specialized AI agent for product management and ownership",
            "capabilities": [
                "Define and prioritize product requirements",
                "Create and maintain user stories and acceptance criteria",
                "Analyze user feedback and market trends",
                "Make product roadmap decisions",
                "Facilitate stakeholder communication",
                "Monitor product metrics and KPIs",
            ],
            "limitations": [
                "Cannot write or modify code",
                "Cannot make final budget decisions",
                "Must validate requirements with stakeholders",
                "Should consider technical constraints from development team",
                "Cannot override executive strategic decisions",
            ],
            "prompt": "You are an experienced product owner who balances user needs, business goals, and technical constraints. Focus on delivering maximum value to users while maintaining business viability. Always think about the broader product strategy and user journey.",
        },
    }
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure but only states what the tool does without details on traits like read-only status, error handling, or performance. It doesn't add context beyond the basic purpose, leaving gaps in understanding how the tool behaves in practice.

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, clear sentence that efficiently conveys the tool's purpose with zero waste. It's appropriately sized for a no-parameter tool and front-loaded with essential information, making it easy to parse and understand quickly.

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 (0 parameters, output schema provided), the description is adequate but minimal. It covers the basic purpose but lacks details on usage context or behavioral traits, which could be helpful despite the structured data. For a tool with no parameters and an output schema, this is a minimum viable description.

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 has 0 parameters, and the input schema has 100% description coverage, so there's no need for parameter details in the description. The baseline for this scenario is 4, as the description appropriately avoids redundant information and focuses on the tool's purpose without unnecessary complexity.

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 tool's purpose with a specific verb ('Get') and resource ('information about the Product Owner Agent'), making it immediately understandable. However, it doesn't explicitly differentiate from sibling tools like get_dev_agent or get_qa_agent, which have similar naming patterns but target different agents.

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?

The description provides no guidance on when to use this tool versus alternatives like list_all_agents or other agent-specific getters. It lacks context on prerequisites, such as whether the agent must exist or be accessible, and doesn't mention any exclusions or specific scenarios for its use.

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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