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save_grade_report

Save a grading report to a specified path and append error log entries for model-generated assessments.

Instructions

Save a model-generated grading report under answers/converted/ and append any canonical error-log entries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_rootNoAbsolute path to the course project root. Defaults to the server's CWD when omitted; set this explicitly if the user has cd'd between courses within the same Codex session.
slugYesFilename stem for answers/converted/<slug>.md.
report_mdYes
errorsNo
sourceNoDefault source to record for appended errors.
overwriteNo
Behavior2/5

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

With no annotations, the description must fully disclose behavior. It mentions saving under 'answers/converted/' and appending errors, but lacks details on side effects (e.g., directory creation), required permissions, or error handling for missing fields.

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?

Single sentence with no extraneous wording. Core action is front-loaded.

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

Completeness2/5

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

Despite having 6 parameters, no output schema, and no annotations, the description is too brief. Missing context about the 'errors' array, 'report_md' expectations, and the effect of 'overwrite'.

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

Parameters3/5

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

Schema coverage is 66.7% (4 of 6 parameters described). The description adds no new parameter information beyond the schema; it does not explain the 'errors' structure or 'report_md' format.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool saves a model-generated grading report and appends error-log entries. It uses specific verbs and resources ('save', 'grade report', 'append error-log entries'), but does not differentiate from sibling tools like 'append_error' or 'write_artifact'.

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 on when to use this tool versus siblings. There is no mention of prerequisites, alternatives, or when not to use it.

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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