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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so safety is covered and the bar is lower. The description contributes by sketching the returned content (weight, body fat, workouts per week), which annotations cannot express, but says nothing about whether values are current vs historical, whether progress is a trend or a snapshot, or what happens if the student has no goals set.

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?

A single short sentence with no filler. It is front-loaded with the resource, though the trailing ellipsis makes the field list feel unfinished rather than deliberately bounded.

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?

For a one-parameter read tool with strong annotations, this is close to sufficient, and the absence of an output schema means return details are not strictly required. Still, 'goals and progress' is ambiguous enough that an agent cannot tell whether it gets current targets, longitudinal measurements, or adherence percentages — a gap that matters given four or five overlapping student-data siblings.

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?

Schema description coverage is 100%, and the schema already explains that studentId is 'The student_id from list_students' — a useful provenance hint. The description adds nothing about the parameter, so the schema does all the work; baseline 3 applies.

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 names the resource ('the student's goals and progress') and gives example fields (weight, body fat, workouts per week), but it is a noun phrase with no verb and never clarifies that it is a read operation or how 'goals' differ from the many other student-data siblings. An agent can guess the content, but cannot confidently separate it from get_student_summary, get_student_health, or get_assessment.

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?

There is no when-to-use guidance, no exclusions, and no reference to any alternative. With siblings like get_student_health, get_student_summary, get_assessment, and get_diet_adherence all returning student-level data, the agent is left to infer which one answers a 'goals/progress' question.

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