list_strings

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 reveals the output shape (addresses, sections, lengths) but does not disclose that this is a read-only operation, whether the binary must be analyzed before strings are indexed, or that search_all=true scans all bytes and is therefore slower and noisier. The 'izzj versus izj' behavioral distinction is left entirely to the schema parameter description.

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

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

A single 13-word sentence with the action verb front-loaded and zero filler. Every word earns its place by conveying the operation and its output. It could carry slightly more content (usage or behavioral notes) without becoming bloated, but as written it is efficiently structured.

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

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

The tool has 5 parameters, no output schema, and no annotations, so the description must do substantial work. It covers the core output fields, compensating for the missing output schema, but omits usage context, prerequisites, and behavioral caveats. For a tool with two search modes and pagination, this is thin.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all five parameters (limit, offset, min_length, search_all, binary_path) with descriptions and bounds. The tool description adds no parameter-level meaning beyond what the schema provides, so the baseline score of 3 applies.

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

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

The description names a specific verb ('Extract'), a specific resource ('printable strings from the binary'), and the output fields ('addresses, sections, and lengths'). It is clear and unambiguous as a listing/extraction operation. It does not explicitly differentiate itself from sibling tools like search_string, but the output-schema detail makes the distinction largely inferable.

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

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 such as search_string or search_bytes, nor about prerequisites (e.g., whether the binary must first be loaded or analyzed via analyze_binary). The intended context (binary reverse-engineering) is implied by the tool name and sibling set, but the description itself offers no explicit when-to-use or when-not-to-use direction.

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