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grade_pdf

OCR handwritten answer PDFs into markdown with confidence tiers for grading.

Instructions

OCR a single hand-written answer PDF into answers/converted/.md with a confidence tier.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesAnswer PDF path. Absolute, or relative to project_root (typically answers/<stem>.pdf).
engineNoOverride the OCR engine. When omitted, falls back to .course-meta OCR_ENGINE, then to codex-native.
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.
Behavior2/5

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

No annotations are provided, so the description bears full responsibility for behavioral disclosure. It mentions output creation with a confidence tier but does not state whether it overwrites existing files, requires specific permissions, or handles errors. This is insufficient for a tool that writes to disk.

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?

The description is a single, front-loaded sentence that conveys the core functionality without extra words. Every part earns its place.

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

Completeness4/5

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, the description covers the main inputs, output path, and result tier. It could be more complete by mentioning overwrite behavior or error conditions, but it is adequate for a straightforward single-file OCR tool.

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?

The input schema already describes all parameters with 100% coverage. The description adds contextual value by summarizing the output path and confidence tier, but the parameter fallback logic for engine is already in the schema. Thus, the description provides marginal additional meaning beyond 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?

The description uses specific verb 'OCR' and resource 'single hand-written answer PDF', specifying the output path and that a confidence tier is included. It clearly distinguishes from bulk or multi-file tools among siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for single PDF OCR but does not specify when to use this versus sibling tools like `ingest_pdfs`, nor does it mention prerequisites 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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