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Batch Get Changelogs

jira_batch_get_changelogs
Read-onlyIdempotent

Retrieve changelogs for multiple Jira issues at once (Jira Cloud only) to audit changes across projects.

Instructions

Get changelogs for multiple Jira issues (Cloud only).

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum number of changelogs to return in result for each issue. Default to -1 for all changelogs. Notice that it only limits the results in the response, the function will still fetch all the data.
fieldsNo(Optional) Comma-separated list of fields to filter changelogs by (e.g. 'status,assignee'). Default to None for all fields.
issue_ids_or_keysYesComma-separated list of Jira issue IDs or keys (e.g. 'PROJ-123,PROJ-124')

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv1.4.1
    • addedInput schema / additionalProperties
      Added value: +false
    • removedOutput schema / description
      Removed value: -"Generic wrapper for non-object return types."
  2. Addedv1.0.1

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already supply readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds one genuinely useful behavioral fact not in annotations — the Cloud-only availability constraint — but says nothing about batching over many keys, per-issue error behavior, or result ordering.

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?

A single front-loaded sentence with zero wasted words and the constraint placed where it will be read. It is efficient, though arguably it is efficient at the cost of the guidance dimensions above.

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?

An output schema exists and all three parameters are fully documented, so the return-value burden is lifted. Still, for a batch read tool an agent would benefit from knowing the expected shape of 'issue_ids_or_keys' batches, request limits, or how missing issues are handled — the description leaves those to the 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 description coverage is 100%, including the important note that 'limit' only trims the response while all data is still fetched. The description adds nothing beyond the schema, so baseline 3 applies.

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?

States a specific verb and resource ('Get changelogs') with the batch scope ('for multiple Jira issues') and a deployment constraint ('Cloud only'). It implicitly distinguishes from single-issue reads like jira_get_issue, but never names a sibling, so differentiation is left to inference.

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 gives no when-to-use guidance and no alternatives (e.g. per-issue changelog retrieval vs. batch). 'Cloud only' is an availability constraint, not usage direction, so the agent must guess when batching is preferable.

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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