Make String

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

With no annotations, the description carries full behavioral burden, yet it is a single terse sentence. It doesn't state that this mutates the IDB, that an open database/IDA instance is required, whether the operation is reversible (undefine_items), or what happens to the underlying bytes.

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?

One front-loaded sentence with no filler. It is efficient, though arguably too terse for a five-parameter mutation tool.

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?

For a five-parameter IDB-mutating tool with no annotations and no output schema, a single sentence is inadequate. It omits the mutation/database context an agent needs to invoke it safely and correctly.

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 all five parameters (address, length, string_type, timeout, instance_id) are already documented in the schema, including the string_type format list. The description adds nothing beyond that, making the baseline 3 correct.

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?

States a specific verb+resource with a location ('Create a string literal at an address'), so an agent knows it marks existing bytes as a string literal. It does not, however, distinguish itself from siblings such as make_data, make_code, or get_string.

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 when-to-use guidance is given. The description never explains how it relates to get_string (read) or list_strings, nor when you'd mark a literal versus using make_data.

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