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List Issues

list_issues

Retrieve all issues for your organization in Magnet with markdown content, supporting pagination and optional previews. Uses your API key to automatically identify the organization.

Instructions

List all issues for your organization in Magnet with markdown content. The organization is determined automatically from your API key. Each issue includes a 'baseBranch' field which indicates the target branch for any pull requests related to that issue. Use previewOnly=true to get markdown previews (first 100 words) instead of full content. Supports cursor-based pagination with limit (1-100, default 50) and cursor parameters. Response includes pagination metadata with total count, hasMore flag, and nextCursor for fetching subsequent pages.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of issues to return (1-100). Defaults to 50.
cursorNoCursor for pagination. Use nextCursor from previous response to get next page.
previewOnlyNoIf true, returns markdown previews instead of full markdown
organizationIdNoID of the organization. Optional when using API key authentication.
Behavior4/5

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

With no annotations, the description carries full burden. It discloses pagination behavior (cursor-based, limit, hasMore, nextCursor), previewOnly returning first 100 words, and the inclusion of baseBranch field. It does not explicitly state read-only nature, but listing implies non-destructive.

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 concise at 6 sentences, front-loaded with core purpose, then details. No redundant information; every sentence adds value.

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 no output schema, the description explains return fields (baseBranch) and pagination metadata. It covers preview behavior and organization detection. Could mention sorting but not essential for a list tool.

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 parameters are documented. The description adds meaning beyond schema: context about automatic organization detection, preview length, and pagination metadata. It provides useful elaboration.

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 it lists issues for an organization in Magnet with markdown content, using a specific verb and resource. It distinguishes from siblings like get_issue_by_id (single issue) and create_issue by focusing on listing.

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 explains organization detection and previewOnly usage but does not explicitly provide when to use this tool versus alternatives. Sibling tools are listed, but no guidance on selection criteria.

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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