get_profile_completeness

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

No annotations are provided, so the description must carry the burden. It discloses the return format (percentage and breakdown by section) but does not address potential error cases, authentication needs, rate limits, or what happens if the student_id is invalid. It is adequate for a simple read operation but not extensive.

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 front-loaded with the main purpose, followed by return details and parameter explanation. However, the 'Returns' information is repeated twice (once in prose and once in the Args/Returns block), which is slightly redundant but not harmful.

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 (one parameter) and the presence of an output schema, the description is sufficiently complete. It explains the return structure and parameter semantics. It lacks explicit usage guidance or error behavior, but those are not critical for a basic retrieval tool.

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 input schema has no parameter descriptions (0% coverage), but the description adds meaning by specifying that student_id is a UUID. This compensates for the schema gap, though it could provide more detail about the expected format or possible values.

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 with a specific verb and resource: 'Get the profile completeness score for a student.' It also details what the score includes (breakdown by education, skills, projects, resume, GitHub, etc.), which distinguishes it from sibling tools like get_profile_statistics or get_skill_distribution.

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 context is clear: it is used to retrieve a student's profile completeness score and section breakdown. However, it does not explicitly state when to use this tool over siblings like analyze_resume or get_skill_gaps, nor does it mention any exclusions or alternatives.

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