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get_college_details

Retrieve detailed financial aid, net price by income, test score ranges, retention rate, first-generation share, and 10-year earnings for a single college.

Instructions

Deep dive on a single school: net price broken down by family income bracket, SAT/ACT score ranges, retention rate, first-generation student share, financial aid stats, and 10-year earnings. Much more detail than search_colleges.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesSchool name to look up, e.g. 'MIT', 'University of Washington', 'Georgia Tech'
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It lists the data returned (net price, SAT/ACT, etc.) but does not disclose behavior for missing schools, error handling, or authorization needs. It implies read-only but lacks full transparency.

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

Conciseness5/5

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

The description is a single sentence plus a comparative statement, highly concise and front-loaded with the core purpose. Every part adds value without redundancy.

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

Completeness4/5

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

Given the tool's simplicity (one parameter, no output schema), the description covers the main purpose and output content well. It could mention the output format, but overall it is sufficiently complete for an agent to understand what the tool returns.

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

Parameters3/5

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

Schema description coverage is 100%, so the description adds no new meaning for the 'name' parameter beyond what the schema already states. The list of returned details implicitly guides usage but does not enhance parameter semantics.

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

Purpose5/5

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

The description uses a specific verb 'deep dive' and resource 'single school', and clearly distinguishes itself from the sibling tool 'search_colleges' by noting it provides much more detail.

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

Usage Guidelines4/5

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

The description states this tool is for when you need more detail than search_colleges, giving clear context. However, it does not explicitly mention when not to use it or alternative tools for other cases.

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

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