data_read_string

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

No annotations are provided, so the description carries the full burden. It states the action ('Read the string') but lacks details on behavioral traits such as error handling, permissions needed, or what happens if the address is invalid. It adds some context with the usage condition, but more behavioral disclosure would be helpful for a tool with no annotations.

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 sentences that directly state the purpose and usage guidelines. There is no wasted text, and it is front-loaded with the core action, making it efficient and well-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?

Given the tool has an output schema (which handles return values), no annotations, and high schema coverage, the description is reasonably complete. It covers purpose and usage well but could benefit from more behavioral context, such as error cases or performance considerations, to fully compensate for the lack of annotations.

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?

The input schema has 100% description coverage, with the 'address' parameter documented as 'Address to get string from'. The description does not add further meaning beyond this, such as address format or constraints. Given the high schema coverage, the baseline score of 3 is appropriate, as the schema already provides adequate parameter semantics.

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 verb ('Read') and resource ('string at the specified address'), making the purpose specific and understandable. However, it does not explicitly differentiate this tool from sibling tools like 'data_read_byte', 'data_read_word', etc., which likely read different data types from addresses, so it misses full sibling differentiation.

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 provides explicit usage guidance: 'Only use this function if `get_global_variable_at` failed.' This clearly indicates when to use this tool versus an alternative, specifying a prerequisite condition and naming the alternative tool.

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