Skip to main content
Glama
nawidodo

ghidra-mcp-aarch64

by nawidodo

load_tool_group

Loads every tool in a named category, such as 'function' or 'datatype', or all tools at once. Use list_tool_groups to discover available categories.

Instructions

Load all tools in a category. Accepts a category name or "all" to load everything.

Use list_tool_groups() to see available categories.

Args: group: Category name (e.g. "function", "datatype") or "all"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
groupYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description must fully disclose behavioral effects, but it only says 'load' without explaining side effects: whether loading a category replaces previously loaded tools, whether tools are added cumulatively, whether authentication or a connection is required, or whether the operation mutates global state. This is a meaningful transparency gap for a state-changing operation.

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 compact and front-loaded: the first sentence states the core action, the second gives a useful discoverability pointer, and the Args section adds the parameter semantics. No sentence is wasted or redundant with structured data.

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

Completeness4/5

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

For a simple one-parameter loader with an output schema available, the description covers how to invoke it and how to find valid argument values. The main omission is behavioral side-effect disclosure, but the tool is simple enough that the missing details do not prevent correct invocation.

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?

The input schema provides only a bare string declaration with no description, so schema coverage is 0%. The description compensates by explaining the parameter as 'Category name' and providing concrete examples ('function', 'datatype') plus the special value 'all', and points to list_tool_groups() for discovering valid options. This is adequate for a single parameter.

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 states a precise verb and resource: 'Load all tools in a category.' It further clarifies the special 'all' mode that loads everything. This is distinct from the sibling unload_tool_group and is clearly positioned by the pairing of 'load' and 'category.'

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

Usage Guidelines4/5

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

The description gives clear usage context by telling the agent to call list_tool_groups() to discover available category names. It does not explicitly state when not to use this tool or compare it to alternatives like search_tools, but the prerequisite guidance is practical and sufficient for a single-purpose loader.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/nawidodo/ghidra-mcp-aarch64'

If you have feedback or need assistance with the MCP directory API, please join our Discord server