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analyze_portfolio

Examine a student's portfolio website to extract projects and technologies, providing key insights for placement skill evaluation.

Instructions

Analyze a student's portfolio website.

Args:
    student_id: The student's UUID.

Returns:
    Portfolio analysis including projects and technologies found.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
student_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries the transparency burden. It states the return value but does not disclose whether the analysis involves network requests, permissions, or any side effects, leaving the agent without a clear behavioral profile.

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 concise and well-structured with an Args/Returns split. The main purpose appears in the first sentence, followed by minimal necessary detail, with no redundant content.

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?

The tool has a single parameter and no annotations, and the description covers the input format and return summary. However, it leaves out guidance on selection and behavioral aspects, making it adequate but not comprehensive for a simple analysis tool.

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

Parameters4/5

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

The description adds value over the schema by specifying that student_id is a UUID, whereas the schema only indicates a string type. It also clarifies that the ID identifies the student whose portfolio is analyzed.

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 clearly identifies the tool's function: analyzing a student's portfolio website, with a specific verb ('Analyze') and resource. It distinguishes from siblings like analyze_resume and analyze_github by focusing on the portfolio website.

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

Usage Guidelines2/5

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

The description provides no when-to-use guidance or alternative tool references. While it implies usage for portfolio analysis, it does not help the agent choose between this and similarly named sibling tools like analyze_student or analyze_resume.

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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