make_data

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

Annotations are absent, so the description carries full burden for behavioral transparency. It mentions it converts bytes into data, which implies a mutation (vs. read-only), but does not disclose side effects (e.g., does it destroy previous data at that address? Is it reversible?). With no annotations, a 3 is neutral, but more detail would be needed for a higher score.

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 very concise, with two short sentences front-loading the main action and listing types. Every word serves a purpose. Could be slightly improved by adding a note about side effects, but as is, it's efficient.

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?

Given the tool has 3 parameters (one required), no annotations, but has an output schema, the description is adequate but not complete. It fails to explain the size parameter, address format, or what the output schema contains. The sibling tools suggest this is a low-level data conversion tool, but the description could better help the agent understand when to use it over other conversion tools like make_code or make_string.

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 for the lack of parameter documentation. The description mentions 'types: byte, word, dword, qword, float, double' but does not explicitly connect this to the data_type parameter, nor does it explain the size parameter or address format. The description adds basic meaning beyond the schema (type list) but is not thorough.

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 the purpose: converting bytes at a given address into typed data. It specifies the verb 'convert', the resource 'bytes at an address', and lists the supported types, which helps distinguish it from siblings like disassemble_function or get_bytes.

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 usage for converting raw bytes into structured data, but does not explicitly state when to use this tool versus alternatives like disassemble_function, get_bytes, or make_code. No context is given for when not to use it or what prerequisites exist.

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