pdfhell_make

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

No annotations are provided, so the description bears full responsibility. It discloses output structure (dict with case JSON and optional PDF bytes) and behavioral guarantee (same seed yields identical output). No destructive side effects are implied, which is appropriate for a generative tool.

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

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

The description is well-structured with a summary line, usage context, and an Args/Returns list. Every sentence adds value, though it is slightly verbose. It front-loads the primary purpose.

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

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

Given the presence of an output schema and the tool's simplicity, the description covers essential aspects: output structure, parameter semantics, and usage context. It is sufficient for an agent to invoke the tool correctly.

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

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

With 0% schema description coverage, the description fully explains all three parameters: trap (family name, examples, source of truth), seed (integer, determinism), and return_pdf_bytes (default behavior and purpose). This goes well beyond the bare schema.

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

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

The description clearly states the tool's purpose: 'Generate one adversarial PDF + its answer key.' It uses a specific verb-resource pair and distinguishes itself from siblings like eval_discover and pdfhell_run by noting that eval_discover lists trap families.

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

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

The description explains when to use this tool ('to inspect what a specific trap looks like before deciding to evaluate against it') and provides guidance on obtaining trap family names via eval_discover. It does not explicitly exclude scenarios but gives clear context for typical usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.