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

Despite no annotations being provided, the description fully compensates by detailing the tool's behavior: it describes the response structure ('meta,' 'panels'), the types of keys covered (~88 keys covering various categories), and explains what 'panels' are for and what they contain. This is exemplary transparency for a non-annotated tool.

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 relatively concise for the wealth of information it conveys. Information is front-loaded with the primary purpose and instruction. However, the sentence about panels could be slightly more streamlined, and the parenthetical list of groups is somewhat lengthy but arguably necessary.

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 output schema, the description compensates thoroughly by describing the response structure (meta, panels), key coverage breadth, and parameter usage patterns. For a tool with 5 parameters, no output schema, and no annotations, this description provides exceptional completeness.

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?

With 0% schema description coverage and 5 parameters, the description adds significant meaning beyond the raw schema. It explains 'group' and 'chapter' as indexing axes with enumerated values, and shows how to use 'keys' with examples. However, it doesn't describe 'orgSlug' or 'apiKey' parameters explicitly. The 'keys' parameter usage is well-explained.

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 the tool's purpose: 'Get organization settings.' It uses strong verbs and explicitly positions itself as 'THE ENTRY POINT for anything configurable,' effectively distinguishing it from its sibling 'settings_update' and other configuration tools.

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 strong usage guidance: instructs the AI to 'call it with no filters first to get the full map,' explains the two axes ('group' and 'chapter') with a preference indicated ('Prefer group'), and shows how to use 'keys' for specific lookups. However, it doesn't explicitly state when NOT to use this tool or list alternatives for scenarios beyond its scope.

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