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linear_getProjectIssues

Read-onlyIdempotent

Retrieve issues for a specific project with filters by state, assignee, labels, cycle, and milestone to quickly find relevant tasks.

Instructions

Get issues associated with a project, with PM-friendly filters like state, assignee, labels, cycle, and milestone

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of issues to return (default: 25)
statesNoFilter issues by workflow state names
cycleIdNoFilter issues by cycle ID
orderByNoSort issues by created or updated date
labelIdsNoFilter issues by label IDs
projectIdYesID of the project to get issues for
assigneeIdNoFilter issues by assignee ID
includeCompletedNoInclude completed issues in the result set (default: true)
projectMilestoneIdNoFilter issues by project milestone ID

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYes
Behavior2/5

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

Annotations already provide readOnlyHint and idempotentHint, so the description carries little burden. However, it adds no behavioral context beyond the schema, such as pagination, rate limits, or side effects. This is a missed opportunity.

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 a single sentence of 14 words, front-loaded with the core action and resource. Every word earns its place, with no redundancy or filler.

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 rich annotations, full schema descriptions, and existence of an output schema, the description adequately completes the context. It covers the purpose and filter options, though it could mention the return format (list of issues) explicitly.

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?

The input schema has 100% description coverage, so the baseline is 3. The description lists some filter types but does not add new semantic meaning beyond the schema; it merely restates what parameters exist.

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?

The description clearly states the action ('Get') and resource ('issues associated with a project'), and mentions PM-friendly filters. However, it does not explicitly differentiate this from siblings like linear_searchIssues or linear_getCycleIssues, which could cause confusion.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage contexts through the mention of filters (state, assignee, labels, etc.), but it does not provide explicit guidance on when to use this tool versus alternatives, nor does it state when not to use 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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