extract_printable_strings

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

With no annotations provided, the description must disclose behavioral traits. It states the tool does not invoke a model, which is important context. However, it does not describe other behavioral aspects such as whether the extraction is bounded by length, how it handles non-printable characters, performance implications, or the structure of the output. The description adds some value but lacks depth.

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?

The description is a single sentence with no waste, and the key differentiator ('without invoking a model') is front-loaded. It is concise and well-structured, though it could be slightly more informative without losing efficiency.

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 is relatively simple, with 2 parameters and no nested objects. The output schema exists, so return values are documented. However, the description does not clarify the meaning of 'bounded' (e.g., maximum string length) or the 'limit' parameter, leaving some ambiguity. For a low-level extraction tool, this is adequate but not complete.

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 0%, so the description must compensate by explaining parameter meanings. It does not mention 'path' or 'limit' at all. The schema only provides titles and defaults, so an agent has to infer that 'limit' likely controls the maximum number of strings returned, but this is not stated. This is a significant gap.

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 clearly states a specific verb ('extract') and resource ('bounded ASCII strings from a file'), and explicitly distinguishes it from model-based extraction by adding 'without invoking a model'. This makes the purpose clear, but it does not directly reference any sibling tool to differentiate it beyond that.

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?

The description implies this tool should be used when you need to extract bounded ASCII strings from a file without using a model, but it does not explicitly state when to use it versus alternatives like read_binary_slice or read_text_excerpt. It gives context (low-level extraction) but no explicit exclusions or alternatives.

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