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Make Code

make_code

Converts bytes at a chosen address into code within IDA Pro, enabling reverse engineers to mark regions as instructions for disassembly and analysis.

Instructions

Convert bytes at an address into code.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressYesAddress to convert into code
timeoutNoTimeout in seconds
instance_idNoInstance id override

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.9.7

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden. It implies a database mutation (reinterpreting bytes as code) but says nothing about reversibility (undefine_items), persistence (save_idb), scope effects, or whether the change is immediate.

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?

A single front-loaded sentence with zero wasted words. It is efficiently sized, though arguably too terse given the operation's consequences.

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?

For a mutation tool with no annotations and no output schema, the description is too thin. It omits what changes, how to undo it, and how it relates to the many sibling transformation tools, leaving real gaps an agent must guess at.

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 address, timeout, and instance_id are already documented in the schema. The description adds no syntax, format, or semantic detail beyond what the schema provides, making the baseline 3 appropriate.

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?

States a specific verb ('convert') and resource ('bytes at an address into code'), so the agent can tell it is a code-creation operation. It does not distinguish itself from close siblings like make_data, make_string, or create_function, and 'code' is left slightly ambiguous (instructions vs. a function).

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?

There is no when-to-use guidance and no mention of alternatives, even though the sibling list contains obvious competitors (make_data, make_string, create_function, undefine_items). The agent gets no signal for choosing this over those.

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