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Yandex Tracker MCP

Update Issue

issue_update

Update specific fields of an existing Yandex Tracker issue while leaving other fields unchanged. Discover available fields using queue_get_fields before updating.

Instructions

Update an existing Yandex Tracker issue. Only fields that are provided will be updated; omitted fields remain unchanged. Use queue_get_fields to discover available fields before updating.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
issue_idYesIssue ID in the format '<project>-<id>', like 'SOMEPROJECT-1'
summaryNoNew issue title/summary
descriptionNoNew issue description (use markdown formatting)
markup_typeNoMarkup type for description text. Use 'md' for YFM (markdown) markup.md
parentNoParent issue reference. Object with 'id' (parent issue ID) and/or 'key' (parent issue key like 'QUEUE-123').
sprintNoSprint assignments. Array of objects, each with 'id' field containing the sprint ID (integer).
typeNoIssue type. Object with 'id' (type ID) and/or 'key' (type key like 'bug', 'task'). Use `queue_get_metadata` tool with expand=['issueTypesConfig'] to get available issue types in this queue.
priorityNoIssue priority. Object with 'id' (priority ID) and/or 'key' (priority key like 'critical', 'normal'). Use get_priorities to find available priorities.
followersNoIssue followers/watchers. Array of objects, each with 'id' field containing the user ID or login.
projectNoProject assignment. Object with 'primary' (int, main project shortId) and optional 'secondary' (list of ints, additional project shortIds).
tagsNoIssue tags as array of strings.
versionNoIssue version for optimistic locking. Changes are only made to the current version of the issue. Always try to receive issue's version using issue_get tool first.
fieldsNoAdditional fields to update. Use queue_get_fields to discover available fields. Use the field's 'id' property as the key (e.g., {'fieldId': 'value'}).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
createdAtNo
updatedAtNo
createdByNo
updatedByNo
versionNo
uniqueNo
keyNo
summaryNo
descriptionNo
typeNo
priorityNo
assigneeNo
statusNo
previousStatusNo
deadlineNo
componentsNo
startNo
storyPointsNo
tagsNo
votesNo
sprintNo
epicNo
parentNo
estimationNo
spentNo
Behavior4/5

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

Annotations already indicate write intent (readOnlyHint=false). The description adds valuable detail that only provided fields are modified, avoiding misunderstanding. 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences long, front-loaded with the core action and partial update semantics. No superfluous content.

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 13 parameters, one required, and an output schema, the description provides sufficient guidance (e.g., using queue_get_fields, optimistic locking via version). It lacks detail on return values, but the output schema covers that.

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%, so each parameter already has a description. The tool description does not add new meaning beyond the schema, but summarizes the update behavior. Baseline 3 is appropriate.

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 'Update an existing Yandex Tracker issue' with a specific verb and resource. It also explains the partial update behavior ('only fields provided will be updated'), distinguishing it from sibling tools like issue_create or issue_close.

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 advises to 'Use queue_get_fields to discover available fields before updating', providing clear context on when to use this tool. It does not explicitly list exclusions or alternatives, but the context is adequate given the sibling toolset.

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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