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sina-haseli

mcp-server-jira

by sina-haseli

get_sprint_burndown

Read-only

Retrieves burndown data for a sprint including committed, completed, and remaining story points, issue counts by status, and raw time-series. Enables AI to analyze sprint progress and summarize completion trends.

Instructions

Returns burndown data for a sprint so the AI can analyze/summarize progress (this is data, not a rendered chart image). Includes a reliable computed summary (committed vs completed vs remaining story points, issue counts by status) plus best-effort raw GreenHopper burndown time-series. Requires Jira Software.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
board_idYesBoard id (rapid view id) the sprint belongs to
sprint_idYesSprint id (from list_sprints)
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true. The description adds value by describing the returned data (summary and best-effort raw time-series), partially addressing behavioral traits like reliability ('best-effort').

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?

Two sentences, front-loaded with purpose, no wasted words, and clearly structured to present key information first.

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?

Despite having no output schema, the description adequately explains the return data (computed summary and raw time-series) and includes a prerequisite. Parameter coverage is complete via schema.

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 clear parameter descriptions. The tool description does not add any additional detail beyond the schema, so it meets the baseline without extra value.

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 verb 'returns', the resource 'burndown data for a sprint', and distinguishes itself from a chart image, which differentiates it from sibling tools like get_story or list_sprints.

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?

The description implies usage for analyzing/summarizing progress and notes a prerequisite ('Requires Jira Software'), but does not explicitly exclude alternative tools or provide when-not-to-use guidance.

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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