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aflpp.attach_dictionary

Attach a dictionary file to a fuzzing job configuration to supply custom tokens for mutation-based fuzzing.

Instructions

Attach a dictionary file to a job name (stored as a job config to be used by start_fuzz).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_nameYes
dict_pathYes
workspaceYes
Behavior3/5

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

The description discloses that the operation stores configuration rather than starting a fuzz run, which is an important behavioral detail. It does not mention overwrite behavior, validation of dict_path, or prerequisites like workspace existence.

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, focused sentence that conveys the core purpose and storage behavior without unnecessary words. It is appropriately concise for a simple configuration tool.

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?

With no annotations, no output schema, and undocumented parameters, the description leaves significant gaps. It explains the high-level purpose but omits parameter guidance, return behavior, and edge-case warnings, making it inadequate for reliable 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?

Schema coverage is 0% and the description provides no explanation of workspace, dict_path, or job_name. The agent receives no guidance on what these parameters mean or how to construct valid values.

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 the specific verb 'attach' and clearly identifies the resource (dictionary file) and destination (job name). It also distinguishes itself from execution tools like start_fuzz by noting the dictionary is stored as a job config for later use.

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 states the tool stores a job config 'to be used by start_fuzz,' implying it is a prerequisite configuration step. However, it does not explicitly mention alternatives or when not to use this tool.

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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