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list_strings

Extract and list all strings from the database with pagination. Specify offset and count to manage large datasets efficiently during reverse engineering with IDA Pro.

Instructions

List all strings in the database (paginated)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYesNumber of strings to list (100 is a good default, 0 means remainder)
offsetYesOffset to start listing from (start at 0)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions pagination but doesn't describe what the paginated response looks like, whether there are rate limits, authentication requirements, or any other behavioral characteristics. For a read operation with no annotation coverage, this leaves significant gaps.

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 extremely concise - a single sentence that efficiently communicates the core functionality. Every word earns its place, and the information is front-loaded with no unnecessary elaboration.

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 read operation with no annotations and no output schema, the description is insufficiently complete. It doesn't explain what the return format looks like, what 'strings' represent in this database context, or how pagination works in practice. The existence of a sibling filtering tool suggests this is part of a larger system that needs more contextual explanation.

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?

The input schema has 100% description coverage, providing clear documentation for both parameters. The description adds no additional parameter information beyond what's already in the schema, so it meets the baseline expectation when schema coverage is complete.

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 action ('List') and resource ('all strings in the database'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from its sibling 'list_strings_filter', which appears to offer filtered listing capabilities.

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 about when to use this tool versus alternatives. The existence of 'list_strings_filter' as a sibling suggests there are multiple ways to list strings, but the description doesn't indicate when to choose this unfiltered, paginated approach over the filtered version.

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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