Skip to main content
Glama
raalarcon9705

raalarcon-jira-mcp-server

get_sprints

Retrieve sprint data from Jira boards to track active, completed, and upcoming sprints with details like ID, name, state, and dates.

Instructions

Get all sprints for a specific board. Returns sprint information including ID, name, state, and dates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
boardIdYesThe ID of the board to get sprints from. Use get_agile_boards to find available board IDs.
stateNoFilter sprints by state: "active" for current sprint, "closed" for completed sprints, "future" for upcoming sprints.
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions the return data structure ('sprint information including ID, name, state, and dates'), which is helpful, but lacks details on permissions, rate limits, pagination, or error handling. This is insufficient for a read operation with no annotation coverage.

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 front-loaded and efficient: two sentences with zero waste. The first sentence states the purpose, and the second clarifies the return format, 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 no annotations and no output schema, the description provides basic purpose and return format, but lacks behavioral context (e.g., permissions, pagination) and doesn't compensate for the absence of structured output details. It's minimally adequate but has clear gaps for a tool with two parameters and sibling alternatives.

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 description coverage is 100%, so the schema fully documents both parameters. The description adds no additional parameter semantics beyond what's in the schema (e.g., it doesn't explain boardId sourcing or state filtering nuances). Baseline score of 3 is appropriate as the schema handles the heavy lifting.

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: 'Get all sprints for a specific board' with specific verb ('Get') and resource ('sprints'), and mentions the return information. However, it doesn't explicitly differentiate from sibling tools like 'get_sprint_issues' or 'get_agile_boards', which reduces it from a perfect score.

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. It doesn't mention sibling tools like 'get_sprint_issues' for issue-level details or 'get_agile_boards' for board discovery, nor does it specify prerequisites or exclusions, leaving usage context unclear.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/raalarcon9705/jira-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server