evaluate_expression

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does add useful context about pointer dereference syntax and performance, but it does not explicitly state whether evaluation is read-only, what happens on invalid expressions, or whether there are any side effects. For a debugger expression evaluator, more transparency about error behavior would be beneficial.

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 three sentences, front-loaded with the core purpose, and each sentence adds new information: the operation, the types of expressions, and a practical usage tip with performance benefit. There is no redundancy or wasted words.

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 single-parameter tool with an output schema, the description is largely complete. It covers the purpose, expression types, and gives a usage tip. However, it does not mention potential error cases or limitations (e.g., expression syntax constraints), which would make it more robust. Still, the provided information is sufficient for most use cases.

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 already has 100% description coverage for the single parameter 'expression', including examples. The description adds extra value by explaining the '[address]' syntax and that it reads a QWORD at RSP, which is not fully captured in the schema. This enriches the semantic understanding beyond the schema baseline.

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 tool evaluates an x64dbg expression, and specifies the types of expressions it resolves (API names, registers, arithmetic, pointer dereferences). This distinguishes it from sibling tools like read_memory by positioning it as an expression evaluator and explicitly comparing it to read_memory for single values.

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 an explicit usage alternative: 'This is faster than read_memory for single values.' This tells the agent when to prefer this tool over read_memory, and the TIP about '[address]' syntax gives a concrete usage example. It clearly indicates the context for using this tool versus a sibling.

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