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emulate

Execute CPU emulation from a specified address with configurable bounds like stop address, instruction count, or timeout to control execution flow.

Instructions

Run CPU emulation.

Must provide stop_address, count, or both to bound execution.

Args: session_id: The session ID. address: Address to begin execution. stop_address: Address to stop at (exclusive). count: Maximum instructions to execute (capped at 100,000). timeout_ms: Timeout in milliseconds (capped at 60,000).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYes
addressYes
stop_addressNo
countNo
timeout_msNo
Behavior3/5

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

No annotations are provided, so the description carries the burden. It adds behavioral context: 'capped at 100,000' for count and 'capped at 60,000' for timeout_ms, which are useful constraints. However, it doesn't disclose other traits like whether it's read-only/destructive, error handling, or output format, leaving gaps for a mutation tool.

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

Conciseness4/5

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

The description is appropriately sized and front-loaded: the first sentence states the purpose, followed by a key constraint, then detailed parameter explanations. Each sentence adds value, with no redundancy. It could be slightly more concise by integrating the constraint into the purpose statement.

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 no annotations, no output schema, and 5 parameters, the description is moderately complete. It covers purpose, key constraints, and parameter semantics, but lacks details on behavioral aspects like side effects, error cases, or return values. For a tool with this complexity, more context on execution results would improve completeness.

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 explains all 5 parameters in the 'Args' section, adding meaning beyond the schema by detailing constraints (e.g., caps on count and timeout_ms) and usage rules (e.g., stop_address is exclusive). This nearly compensates for the schema gap, but lacks format details for some params.

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: 'Run CPU emulation.' It specifies the action ('Run') and resource ('CPU emulation'), making it distinct from siblings like 'step' or 'create_emulator'. However, it doesn't explicitly differentiate from all siblings, such as 'create_emulator' or 'destroy_emulator', which are related but not identical.

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

Usage Guidelines3/5

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

The description provides some usage guidance: 'Must provide stop_address, count, or both to bound execution.' This implies when to use parameters but doesn't specify when to use this tool versus alternatives like 'step' for single-step execution or 'create_emulator' for setup. No explicit exclusions or sibling comparisons are given.

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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