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wiklob

linear-mcp-lean

by wiklob

Save issue

save_issue

Create or update an issue in Linear, returning only ID, identifier, state, and URL. Provide title and team for creation; use identifier to update.

Instructions

Create (no id) or update (id) an issue. Returns only {id, identifier, state, url} — no full-object echo. id-or-name args (state/assignee/project/milestone/labels) resolve server-side; blockedBy takes issue identifiers; create requires title + team.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoIssue id or identifier to UPDATE; omit to create
teamNoTeam name or id (required on create)
stateNoWorkflow state name or id (e.g. In Progress)
titleNoIssue title (required on create)
labelsNoLabel names or ids
projectNoProject name or id
assigneeNoUser name or id, or "me"
priorityNo0=None,1=Urgent,2=High,3=Medium,4=Low
blockedByNoIssue identifiers/ids that block this issue
milestoneNoMilestone name (needs project) or id
descriptionNoMarkdown body
Behavior3/5

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

No annotations are provided, so the description must cover behavioral traits. It discloses limited return fields (`{id, identifier, state, url}`) and server-side resolution of id-or-name arguments. However, it lacks details on permissions, side effects, or reversibility of the mutation.

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, front-loading the core create/update behavior and return format. The second sentence efficiently covers parameter resolution and requirements. Every sentence adds essential information without redundancy.

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 11 parameters with 100% schema coverage and no output schema, the description covers the key logic (create/update, return fields, id-or-name resolution, required on create). It lacks details on error cases or defaults, but is sufficient for agent invocation.

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 is 3. The description adds value by explaining create vs update logic, required parameters on create (`title`, `team`), and server-side resolution for id-or-name arguments. This clarifies parameter interaction beyond the schema's individual descriptions.

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 'Create (no `id`) or update (`id`) an issue', using a specific verb and resource. It distinguishes the tool from sibling CRUD tools by describing a combined create/update operation for issues.

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 explicitly says when to create vs update based on the `id` parameter. It also notes that create requires `title` and `team`. However, it does not explicitly mention when not to use this tool or suggest alternative tools for listing or reading issues.

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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