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Yandex Tracker MCP

Get Issue Changelog

issue_get_changelog
Read-only

Retrieve the change history of a Yandex Tracker issue, including status transitions, field edits, comment changes, and executed triggers. Supports pagination and optional filtering by field or change type.

Instructions

Get the change history (changelog) of a Yandex Tracker issue by its id: status transitions, field edits (who changed what from -> to and when), comment changes and executed triggers. Returns a page of entries plus 'next_cursor'. To fetch the next page, pass 'next_cursor' from the previous result as the 'cursor' argument; when 'next_cursor' is null there are no more pages.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
issue_idYesIssue ID in the format '<project>-<id>', like 'SOMEPROJECT-1'
per_pageNoThe number of items per page for cursor-paginated endpoints. May be decreased if results exceed the context window.
cursorNoCursor for the next page: the 'next_cursor' value returned by the previous call. Leave empty for the first page.
fieldNoOptional field key to filter the changelog by (e.g. 'status' to only see status changes).
typeNoOptional change type to filter by (e.g. 'IssueWorkflow' for status transitions).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
entriesYes
next_cursorNo
Behavior4/5

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

Annotations already indicate readOnlyHint=true. Description adds pagination behavior (returns page with next_cursor, how to paginate) and lists change types. No contradictions.

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?

Description is a single paragraph with 3 sentences, front-loading main purpose. Efficient but could be slightly more structured. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has output schema and 5 params, the description covers purpose, pagination, and optional filters. No missing critical information for agent usage.

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?

Schema coverage is 100%, so baseline 3. Description adds value by explaining cursor pagination mechanics and that field/type parameters are optional filters, which is above baseline.

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?

Description clearly states it retrieves changelog (change history) of an issue, listing specific change types (status transitions, field edits, comment changes, triggers). Differentiates from siblings like issue_get (current state) and issue_get_comments (only comments).

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?

Explicitly says to use this tool when needing change history of an issue. Provides pagination instructions. However, does not explicitly state when not to use it or compare with alternatives (e.g., issue_get for current state), though context implies it.

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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