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Update an issue

update_issue

Change fields on an existing issue. Only the fields you pass are touched. Pass null to assignee, project or cycle to clear it, or an empty reviewers array to clear the reviewer list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cycleNoSprint name, number, id or null.
issueYesAn issue identifier like "ENG-42", or an issue id.
stateNoWorkflow state name or id on the issue team.
titleNo
labelsNoLabel names or ids. Replaces the labels already on the issue.
parentNoParent issue, making this a sub issue, or null to detach it.
dueDateNo
projectNoProject name, slug, id or null.
assigneeNoAssignee name, handle, email, id, "me", or null to unassign.
estimateNo
priorityNoIssue priority, from "urgent" down to "low".
milestoneNoMilestone name or id on the project the issue is in, or null to take it off the milestone.
reviewersNoReviewer names, handles, emails, ids, or "me". Replaces the reviewer list.
descriptionNoReplaces the markdown body.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already indicate this is a mutating operation (readOnlyHint=false) and not marked destructive. The description adds valuable behavioral context beyond annotations: partial updates, null semantics for clearing assignee/project/cycle, and empty reviewers array clearing. This meaningfully clarifies side effects.

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, tightly packed with the most important usage semantics, with zero filler. The core operation is stated first, and the clearing behavior follows as a concise caveat.

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?

For a tool with 14 parameters and no output schema, the description provides the essential cross-cutting behavior needed to call it correctly. It does not describe return values, but for an update operation this is not a blocker. The absence of an explicit 'use create_issue for new issues' exclusion is minor.

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 high (79%), so the schema explains most parameters. The description adds important cross-parameter semantics: only provided fields are updated, and null/empty values have a clearing effect rather than being ignored. This is exactly the kind of behavior that an agent cannot reliably infer from individual parameter descriptions alone.

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?

States a specific verb ('Change') and resource ('an existing issue'), which clearly distinguishes it from create_issue, delete_issue, and move_issue. The scope is unambiguous and the meaning is obvious.

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 communicates this is for modifying an existing issue, not creating one, and adds critical partial-update semantics: only passed fields are touched. It does not explicitly name alternatives like create_issue, but the usage context is clear enough for an agent to select it correctly.

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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