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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds genuinely useful behavioral context that annotations cannot: it enumerates what comes back (schools sorted by chance with verdicts, Reach/Target/Likely balance, chance of at least one acceptance, balancing advice).

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?

Two sentences, no filler, and the scope constraint ('up to 15 colleges at once') is front-loaded before the return-value detail. Every clause carries information.

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 14-parameter tool with no output schema, the description does the important work of describing the return payload, and the schema fully covers inputs. What is missing is any caveat about the estimates being probabilistic/approximate or guidance on the required 'schools' list versus the optional profile fields.

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%, so all 14 parameters are already documented with ranges, enums, and defaults (e.g. ACT ignored if SAT given, grade defaults to 12). The description adds nothing about parameter semantics beyond the 15-school cap, so the 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?

States a specific verb ('Score'), the resource (one student profile against colleges), and the batch scope ('up to 15 colleges at once'). The batch framing implicitly separates it from the single-school sibling estimate_admission_chances, but that sibling is never named, so the agent must infer the distinction.

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 'up to 15 colleges at once' implies this is the bulk-list variant, which is the main usage cue. However, there is no explicit when-to-use guidance, no statement of when to prefer estimate_admission_chances over this tool, and no prerequisites or limits beyond the count.

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