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pwndbg_spray

Sprays memory with cyclic patterns to identify which byte offset overwrites a target address during buffer overflow analysis.

Instructions

Spray memory with cyclic pattern values.

pwndbg command: spray Source: pwndbg/commands/spray.py Category: Misc

Writes cyclic() generated values to memory, useful for identifying which offset in a buffer overwrites a target.

Args: session_id: The UUID of the session. addr: Address to start spraying. length: Number of bytes to spray (0 = auto).

See: https://pwndbg.re/2025.05.30/reference/pwndbg/commands/spray/

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYes
addrYes
lengthNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided, so the description must fully disclose behavior. It states writes cyclic values to memory but omits side effects (e.g., whether it modifies process state, requires run permission, or can corrupt memory). No information about return values or error conditions.

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 concise, starting with a one-sentence summary, followed by source/category, purpose, and parameter list. Every sentence adds value, and a reference link is provided for deeper detail.

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

Completeness3/5

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

The tool is simple, so the description covers the core operation and purpose. However, it lacks details on output schema (return value or success indication) and fails to address behavioral implications like memory corruption risk or required process state, limiting completeness.

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

Parameters4/5

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

With 0% schema description coverage, the description adds brief parameter explanations (session_id, addr, length) that clarify their types and default behavior ('0 = auto'). However, it lacks format details (e.g., addr as hex string) and full semantics for 'auto' mode.

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 the tool writes cyclic pattern values to memory and explains its utility for identifying buffer overflow offsets. The verb 'spray' and resource 'memory' are specific, and the tool name matches its function. It distinguishes itself among sibling debugging tools as the only memory spraying tool.

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 buffer overflow analysis (e.g., 'useful for identifying which offset in a buffer overwrites a target'), but does not explicitly state when to use this tool vs alternatives like 'cyclic' or other memory writing tools. It lacks 'when not to use' or exclusion criteria.

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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