list_items

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. While 'Read items' implies a safe, non-destructive operation, the description doesn't specify whether this requires authentication, has rate limits, returns paginated results, or what the output format looks like. For a read tool with zero annotation coverage, this leaves significant behavioral gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that gets straight to the point. It wastes no words and is appropriately sized for a simple read tool. However, it could be slightly more structured by explicitly mentioning it's for reading items from a specific list.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations and no output schema, the description is incomplete. It doesn't explain what 'items' are returned, their format, or any behavioral traits like error handling. For a tool with 2 parameters and siblings that might overlap in functionality, more context is needed to ensure proper use.

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

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

Schema description coverage is 100%, with both parameters ('list_id' and 'status_filter') well-documented in the schema. The description adds no additional parameter information beyond what's already in the schema (e.g., it doesn't clarify the Korean text '피드백 추적기' or provide examples beyond the schema). Baseline 3 is appropriate when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the tool 'Read items from the QA Slack List - 피드백 추적기', which clearly indicates it's a read operation on a specific resource (QA Slack List). However, it doesn't distinguish this from sibling tools like 'scan_qa_bugs' or 'get_bug_detail', which might also retrieve QA-related data. The purpose is clear but lacks sibling differentiation.

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

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention when this tool is appropriate compared to siblings like 'scan_qa_bugs' or 'get_bug_detail', nor does it specify any prerequisites or exclusions. The user must infer usage from the tool name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.