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list_issues

Browse repository issues to find work items, returning key details like title, state, author, and comment count for up to 100 issues.

Instructions

Use this when you need to browse issues for a repository or find issues to work on. Returns a JSON array with number, title, state, author, description, and comment count. Requires 'owner' and 'name'. Returns up to 100 issues. Use get_issue for full details on a specific issue. See also: get_issue, create_issue.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ownerYes
nameYes
Behavior4/5

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

With no annotations provided, the description carries the full burden. It successfully discloses the return format ('JSON array with number, title, state...'), result limits ('up to 100 issues'), and required parameters. However, it does not explicitly state this is a read-only/safe operation or mention error conditions.

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?

Four sentences with zero waste. Front-loaded with usage intent ('Use this when...'), followed by return value description, limitations, and sibling references. Every sentence provides distinct value 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 the absence of an output schema, the description appropriately details the return structure and fields. For a 2-parameter tool with no annotations, it covers the essential behavioral context (pagination limits, required fields) but falls short on explaining parameter semantics.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, requiring the description to compensate. While it mentions that 'owner' and 'name' are required, it fails to explain what these parameters represent (e.g., repository owner and repository name), leaving their semantics ambiguous despite the 'repository' context in the first sentence.

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 the tool 'browse[s] issues for a repository' and helps 'find issues to work on', providing specific verbs (browse/find) and the resource (issues). It effectively distinguishes from sibling tool get_issue by stating it returns a list versus get_issue for 'full details on a specific issue'.

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

Usage Guidelines5/5

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

Provides explicit when-to-use ('when you need to browse issues'), when-not-to-use ('Use get_issue for full details on a specific issue'), and lists relevant alternatives ('See also: get_issue, create_issue'). This gives the agent clear decision boundaries.

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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