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exams_sessions_acceptSuggestion

Accept an AI-generated grading suggestion for an exam session and question.

Instructions

Accept a single AI-generated grading suggestion for the exam session.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
sessionIdYes
questionIdYes
Behavior2/5

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

The description only states 'Accept' which implies mutation, but provides no details on effects, permanence, or required state. With no annotations, the description fails to disclose behavioral traits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no unnecessary words, but is too sparse for the required information.

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

Completeness1/5

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

Given the three parameters, no output schema, and many sibling tools, the description fails to explain the relationships between parameters or provide enough context for correct invocation.

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

Parameters1/5

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

The input schema has three required parameters (id, sessionId, questionId) with no descriptions. Schema coverage is 0%, and the description adds no explanation of these fields.

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 states the action ('Accept') and the resource ('a single AI-generated grading suggestion for the exam session'). It distinguishes from the sibling tool acceptAllSuggestions.

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?

No guidance is provided on when to use this tool versus alternatives like acceptAllSuggestions. No context about prerequisites or conditions is mentioned.

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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