get_profile_statistics

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

With no annotations provided, the description carries the burden of explaining behavior. It discloses what the tool returns (a formatted statistics report) and enumerates the data points included, which is adequate for a read-only aggregate tool. It does not mention side effects or prerequisites, but none are expected.

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 concise and well-structured: a single opening sentence, a clear bullet-like list of contents, and a one-line return specification. Every word earns its place, with no filler or redundancy.

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 that there are no parameters and an output schema exists, the description sufficiently covers the tool's purpose and contents. The listed statistics give a complete picture of the expected output, and the return line clarifies the format.

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, so the schema is empty and the baseline for this dimension is 4. The description does not need to explain parameters, and it correctly focuses on output instead.

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 begins with a specific verb and resource: 'Get aggregate statistics across all student profiles.' It clearly lists the included statistics (CGPA distribution, skill coverage, project counts, internship rates, certification coverage), which distinguishes it from sibling tools like get_skill_distribution or get_profile_completeness.

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 phrase 'across all student profiles' establishes a clear usage context: this is for aggregate overview, not individual profiles. However, it does not explicitly mention alternatives or when not to use it, so it stops short of a 5.

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