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create_stack_frame_variable

Generate stack frame variables in IDA Pro by specifying function address, offset, variable name, and type to enhance reverse engineering analysis.

Instructions

For a given function, create a stack variable at an offset and with a specific type

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
function_addressYesAddress of the disassembled function to set the stack frame variables
offsetYesOffset of the stack frame variable
type_nameYesType of the stack variable
variable_nameYesName of the stack variable
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states the action is to 'create' but doesn't disclose behavioral traits such as whether this is a destructive mutation, if it requires specific permissions, what happens on failure (e.g., duplicate variables), or the response format. This is a significant gap for a mutation tool with zero annotation coverage.

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 a single, efficient sentence that front-loads the core action. It avoids redundancy and wastes no words, though it could be slightly more structured (e.g., by explicitly listing parameters).

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?

Given the complexity of a mutation tool with no annotations and no output schema, the description is incomplete. It lacks behavioral context (e.g., side effects, error handling), usage guidelines, and output details, making it inadequate for safe and effective use by an AI agent.

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?

Schema description coverage is 100%, so the schema already documents all four parameters thoroughly. The description adds minimal value beyond the schema by implying the parameters are used together ('create a stack variable at an offset and with a specific type'), but doesn't provide additional syntax, format details, or examples. Baseline 3 is appropriate when the schema does the heavy lifting.

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

Purpose4/5

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

The description clearly states the action ('create a stack variable') and specifies the target resource ('for a given function'), with details about location ('at an offset') and attributes ('with a specific type'). It distinguishes from siblings like 'delete_stack_frame_variable' or 'rename_stack_frame_variable' by focusing on creation, though it doesn't explicitly contrast them.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing a disassembled function), exclusions, or related tools like 'set_stack_frame_variable_type' or 'get_stack_frame_variables', leaving the agent to infer usage from context alone.

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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