get_experience_levels

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. It states this is a 'Get' operation, implying it's likely read-only, but doesn't confirm this or describe any other behavioral traits like authentication needs, rate limits, or what the return format looks like (e.g., structured data, counts). For a tool with zero annotation coverage, this is a significant gap in transparency.

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 that directly states the tool's purpose with no wasted words. It's front-loaded with the core action ('Get experience level distribution') and includes helpful examples (entry, mid, senior). Every part of the sentence earns its place by clarifying what 'experience level distribution' means.

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 the tool's simplicity (0 parameters, no output schema, no annotations), the description is adequate but has clear gaps. It explains what the tool does but doesn't cover behavioral aspects like return format or usage context relative to siblings. For a basic read operation, it meets minimum viability but lacks completeness for optimal agent guidance.

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 0 parameters, and schema description coverage is 100%, so there's no need for parameter documentation in the description. The description appropriately doesn't mention parameters, focusing instead on the tool's purpose. A baseline of 4 is applied for zero-parameter tools, as the description efficiently avoids unnecessary detail.

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 experience level distribution' with specific categories listed (entry, mid, senior, etc.). It uses a specific verb ('Get') and identifies the resource ('experience level distribution'), making it immediately understandable. However, it doesn't explicitly differentiate this from sibling tools like 'get_categories' or 'get_stats_overview', which prevents a perfect score.

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. With sibling tools like 'get_categories' and 'get_stats_overview' that might overlap in data retrieval, there's no indication of when this specific distribution data is needed or what distinguishes it from other get_* tools. This leaves the agent to guess based on tool names alone.

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