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PM Context MCP Server

PM Context MCP Server

by jackhendon
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

get_roadmap_tool

Retrieve the complete product roadmap with epics, completion percentages, issue counts, statuses, and target dates to track progress and plan effectively.

Instructions

Get the product roadmap: all epics with completion percentage, issue counts, status, and target dates.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_roadmap_tool"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the full burden of behavioral transparency. It discloses the scope ('all epics') and the exact output fields, making the read-only nature and return format clear. No hidden side effects or prerequisites are relevant, so this is adequate.

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, well-structured sentence that front-loads the primary action and resource. Every clause adds meaning, with no waste.

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?

For a zero-parameter read tool without an output schema, the description fully specifies what the tool does and what it returns. No additional information is needed for an agent to select and invoke it correctly.

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?

There are zero parameters, so the baseline is 4. The description correctly adds no parameter information since there are none.

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 identifies the tool's function with a specific verb ('Get') and resource ('the product roadmap'), and enumerates the response fields (epics, completion %, issue counts, status, target dates). This distinguishes it from sibling tools that focus on sprints, issues, blockers, workload, or velocity.

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

Usage Guidelines3/5

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

The description implies the tool is for retrieving product roadmap information but does not explicitly state when to prefer it over siblings or any exclusions. No alternative tool is mentioned as a comparison, so guidance is only implicit.

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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