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create_stack_frame_variable

Define stack variables in IDA Pro by specifying function address, offset, name, and type to improve binary analysis clarity.

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
variable_nameYesName of the stack variable
type_nameYesType of the stack variable
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action ('create') but doesn't clarify if this is a destructive mutation, what permissions are required, whether it overwrites existing variables, or what happens on success/failure. For a mutation tool with zero annotation coverage, this leaves significant behavioral gaps.

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 directly states the tool's purpose without unnecessary words. It's appropriately front-loaded with the core action, 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 this is a mutation tool with no annotations and no output schema, the description is incomplete. It doesn't explain what the tool returns, error conditions, or side effects, which are critical for an agent to use it correctly in a low-level debugging context with sibling tools like 'delete_stack_frame_variable'.

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%, with each parameter clearly documented in the schema. The description adds minimal value beyond the schema by mentioning 'offset' and 'type' but doesn't provide additional context like format examples or constraints. This meets the baseline of 3 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 context ('for a given function'), which is a specific verb+resource combination. However, it doesn't explicitly differentiate from sibling tools like 'rename_stack_frame_variable' or 'set_stack_frame_variable_type', which handle similar stack frame variable operations but with different purposes.

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., whether the function must be disassembled first), exclusions, or comparisons to related tools like 'delete_stack_frame_variable' or 'get_stack_frame_variables', leaving the agent to infer usage context.

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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