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validate_plan

Check a manually edited schedule for time conflicts between sections. Returns conflicting pairs and unrecognized indexes.

Instructions

Check whether a proposed schedule (list of section index numbers) has any time conflicts. Use after the student manually edits a solve_semester_schedule result. Input: {sections: [index_number, ...], term: int}. Returns valid (bool), conflicts (list of overlapping pairs), and caveats (unknown indexes).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
planYes
Behavior4/5

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

No annotations provided, so description carries full burden. Lists output structure (valid, conflicts, caveats) and implies read-only behavior. Does not mention side effects, but acceptable for a validation tool.

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?

Three concise sentences: purpose, usage context, input/output description. Every sentence earns its place with no redundancy.

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

Completeness5/5

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

Given no output schema and no annotations, description adequately covers input format and all three return fields. Sufficient for an agent to invoke correctly.

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

Parameters5/5

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

Schema coverage is 0%, but description fully compensates by specifying the exact structure of the 'plan' object: {sections: [index_number, ...], term: int}. Adds critical meaning beyond vague schema.

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?

Clearly states verb 'check whether' and resource 'proposed schedule for time conflicts'. Distinguishes from sibling solve_semester_schedule by specifying it validates after manual editing.

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?

Explicitly says 'Use after the student manually edits a solve_semester_schedule result'. Provides clear context but lacks explicit when-not-to-use or alternatives.

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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