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get_registers

Retrieve CPU register values from emulation sessions to monitor processor state during program execution and debugging.

Instructions

Read one or more registers.

Args: session_id: The session ID. names: List of register names. Omit or pass null for all registers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYes
namesNo
Behavior2/5

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 states the tool reads registers, implying a read-only operation, but does not cover critical aspects like error handling (e.g., invalid session_id or register names), performance considerations (e.g., rate limits or latency), or output format (e.g., structured data or raw values). For a tool with zero annotation coverage, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with a clear purpose statement, followed by concise parameter explanations. Every sentence earns its place: the first defines the tool, and the next two clarify parameters efficiently. There is no redundant or verbose content, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (a read operation with optional filtering), no annotations, and no output schema, the description is partially complete. It covers the basic purpose and parameters but lacks details on behavior, output, error cases, and integration with siblings. For a tool in a debugging/emulation context with many related tools, more context would be beneficial to ensure correct usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

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. It adds meaningful semantics: 'session_id: The session ID' clarifies it's an identifier for a session, and 'names: List of register names. Omit or pass null for all registers.' explains the parameter's purpose and default behavior. This goes beyond the schema's basic types, though it could detail register name formats or examples. With 0% coverage, this is strong but not exhaustive.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Read one or more registers.' It specifies the verb ('Read') and resource ('registers'), and the optional filtering by names distinguishes it from a simple 'get all registers' operation. However, it does not explicitly differentiate from sibling tools like 'set_registers' or 'save_context' beyond the verb 'Read', which is why it's not a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It mentions that omitting 'names' returns all registers, but does not explain contexts where filtering is beneficial, prerequisites like session validity, or comparisons to related tools such as 'get_stack' or 'save_context'. This lack of explicit usage advice limits its helpfulness.

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

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