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mrphrazer

Binary Ninja Headless MCP

by mrphrazer

segment.add_user

Add a custom memory segment to a binary analysis session, specifying start address, length, and permissions for reverse engineering tasks.

Instructions

Add user segment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
startYes
lengthYes
readableNo
writableNo
executableNo
session_idYes
data_lengthNo
data_offsetNo
contains_codeNo
contains_dataNo
Behavior1/5

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

With no annotations, the description must fully convey behavioral traits. The three-word description only implies a write operation ('Add'), but fails to disclose side effects (e.g., whether existing segments are modified, if analysis is re-triggered, permission requirements, or error conditions). The agent is left blind to critical behavioral consequences.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise (three words), but this brevity comes at the cost of completeness. For a tool with 10 parameters and no annotations, the description is severely under-specified. It sacrifices necessary detail for shortness, making it insufficiently informative.

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

Completeness1/5

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

Given the tool's complexity (10 parameters, no output schema, no annotations), the description is grossly incomplete. It omits any context about parameter relationships, effect on the binary, return values, or error handling. An agent lacks the information needed to use the tool correctly.

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?

The input schema has 10 parameters with 0% description coverage, and the tool description adds zero information about parameter meaning, valid values, or constraints. Parameters like 'start', 'length', 'readable' are named but not explained. An agent cannot infer correct usage from the name alone.

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

Purpose3/5

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

The description states the verb 'Add' and resource 'user segment', making the basic action clear. However, it does not distinguish between this tool and similar sibling tools like 'section.add_user' or 'segment.remove_user', leaving ambiguity about what makes a segment 'user' versus other segment types. The purpose is understandable but lacks specificity.

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

Usage Guidelines1/5

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

No usage guidelines are provided. The description does not indicate when to use this tool, what prerequisites are needed, or how it differs from alternatives such as 'section.add_user'. An agent has no basis to decide when to invoke this tool over others.

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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