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multivon-ai

multivon-mcp

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by multivon-ai

pdfhell_make

Generate adversarial PDFs with answer keys to inspect trap scenarios before evaluation.

Instructions

Generate one adversarial PDF + its answer key.

Useful for an agent to inspect what a specific trap looks like before deciding to evaluate against it.

Args: trap: Trap family. One of: "hidden_ocr_mismatch", "footnote_override", "split_table_across_pages". seed: Integer seed. Same seed → byte-identical PDF + identical answer key. return_pdf_bytes: If True, include the base64-encoded PDF bytes in the response. Default False — most agents want the question / expected answer, not the raw PDF.

Returns: A dict with the case JSON (id, trap_family, question, expected_answer, forbidden_answers, metadata) and optionally the base64-encoded PDF bytes under pdf_base64.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
trapYes
seedYes
return_pdf_bytesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations are provided, so the description must cover behavioral aspects. It explains the tool's output, the effect of the return_pdf_bytes parameter, and the deterministic nature of the seed. It does not detail permissions or side effects, but for a generation tool, the transparency is good.

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

Conciseness4/5

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

The description is well-structured with a summary, usage note, and Args/Returns sections. It is concise but informative. Minor formatting inconsistency in Args (mixed backticks and colons) does not detract significantly.

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 the tool has three parameters, no annotations, and an output schema exists (not shown but present), the description covers purpose, parameters, and return value sufficiently. It lacks error handling details but is complete for typical use.

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%, so the description fully compensates. It lists valid values for trap, explains seed for reproducibility, and describes return_pdf_bytes with its default. This adds crucial meaning beyond the schema's type-only info.

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 'Generate one adversarial PDF + its answer key,' which is a specific verb and resource. It also distinguishes from sibling tool pdfhell_run by explaining it is for inspecting traps before evaluation.

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?

The description says 'Useful for an agent to inspect what a specific trap looks like before deciding to evaluate against it,' providing clear context for when to use it. While it does not explicitly list alternatives or when-not-to-use, the guidance is adequate.

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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