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List Globals

list_globals

Lists global non-function symbols from an IDA Pro database with pagination and optional name filtering, helping you inspect data and global variables across one or multiple instances.

Instructions

List global (non-function) symbols with pagination.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_globals"
  }
}

Input Schema

NameRequiredDescriptionDefault
countNoNumber of items (1..1000)
offsetNoPagination offset (>=0)
patternNoOptional name filter
timeoutNoTimeout in seconds
instance_idNoREQUIRED whenever more than one database is open (from open_database's result or list_databases()); optional only while exactly one instance is live.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.0.1
    • changedInput schema / properties / instance_id / description
      Previous value: -"Instance id override"New value: +"REQUIRED whenever more than one database is open (from open_database's result or list_databases()); optional only while exactly one instance is live."
  2. First observedv0.9.7

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions pagination but not defaults (100), maximum page size (1000), whether the call is read-only, or the critical rule that instance_id is required when multiple databases are open – a behavior only hinted at inside the schema.

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 no filler. It is appropriately brief, though brevity tips into under-specification for a tool with a multi-instance requirement.

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?

With no annotations, no output schema, and five parameters, the description is too thin. It omits what a returned 'global symbol' contains, pagination semantics beyond the word itself, and the instance_id prerequisite that matters operationally.

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 all five parameters are already documented in the schema with defaults and constraints. The description only echoes pagination, adding no syntax, filter semantics, or instance_id guidance beyond the structured fields. Baseline 3 applies.

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 (list) and resource (global, non-function symbols), and the parenthetical 'non-function' implicitly separates it from list_functions. It doesn't explicitly name a sibling alternative, but the scope is clear enough to select the tool.

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 guidance on when to use this versus list_functions, list_local_types, or list_structs, and no mention of the multi-instance prerequisite that the instance_id parameter encodes. The agent must infer usage entirely from the name.

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