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IDA Pro MCP

IDA Pro MCP

by icryo
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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get_xrefs_to_field

Find all cross references to a specific struct field in IDA Pro to analyze how a binary accesses or modifies that data member.

Instructions

Get all cross references to a named struct field (member)

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "struct_name": "<struct_name>",
      "field_name": "<field_name>"
    },
    "name": "get_xrefs_to_field"
  }
}

Input Schema

NameRequiredDescriptionDefault
struct_nameYesName of the struct (type) containing the field
field_nameYesName of the field (member) to get xrefs to

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.6.0

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states the action ('Get all cross references') but lacks behavioral details such as output format, performance characteristics, error conditions, or whether it's read-only or has side effects. For a tool with no annotations, this is insufficient.

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 a single, efficient sentence that front-loads the core purpose without unnecessary words. It directly communicates the tool's function in a compact form, earning its place.

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

Completeness3/5

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

Given the tool has an output schema (which handles return values), 100% parameter schema coverage, and no annotations, the description is minimally adequate. However, it lacks context about usage scenarios, behavioral traits, or integration with sibling tools, leaving gaps for an agent to fully understand when and how to apply it.

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 both parameters clearly documented in the schema. The description adds minimal value by implying the parameters identify a struct field, but doesn't provide additional semantics beyond what the schema already specifies. Baseline 3 is appropriate given high schema coverage.

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 verb ('Get') and resource ('all cross references to a named struct field'), specifying it retrieves references to a struct member. It distinguishes from sibling 'get_xrefs_to' by focusing on field-level references rather than general cross-references, though it doesn't explicitly name the sibling for comparison.

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?

No guidance is provided on when to use this tool versus alternatives like 'get_xrefs_to' or other analysis tools. The description implies usage for struct field analysis but lacks explicit context, prerequisites, or exclusion criteria.

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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