list_settings_notifications_slack

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds no additional behavioral context, such as the response format or any side effects. It is consistent with the annotations, and the existing annotations adequately convey that this is a safe read operation. No contradiction exists, but the description adds minimal value beyond the structured data.

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 extremely concise: a single sentence stating the purpose and a separate line for the HTTP endpoint. It is front-loaded with the key information and contains no fluff or redundant content. Every sentence earns its place.

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?

The tool is simple with no parameters, and an output schema exists, so the description need not explain return values. It covers the essential 'what' (retrieve Slack notification settings) without missing critical operational details. While it could mention that it returns the current settings, the name and the GET method imply this, and the output schema fills in the details.

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?

The tool has zero parameters, and the schema has 100% description coverage (since there are no parameters to describe). The description does not need to explain parameters, and per the calibration baseline for 0 parameters, a score of 4 is appropriate. The description adds nothing extra, but none is required.

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 clearly states 'Get Slack notification settings', specifying a verb (get) and a resource (Slack notification settings). It distinguishes from sibling tools like list_settings_notifications_discord by naming Slack. However, it doesn't elaborate on what 'settings' entails, which is a minor gap.

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, such as create_settings_notifications_slack or the test variants. There is no mention of prerequisites, exclusions, or when to prefer other tools. The only context is the name itself, which is not sufficient for an agent to make a routing decision.

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