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trace_data_read

Set up a trace to record every read access to a specified variable, capturing all reads in the trace buffer for debugging.

Instructions

Configure data read trace on a variable.

Records every read access to the specified variable in the trace buffer.

Args: variable: Variable name or address (e.g., "myVar", "0xD0000100")

Returns: Confirmation of data read trace setup

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
variableYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries full burden. It mentions it records read accesses and returns confirmation, but does not disclose prerequisites (e.g., trace must be enabled) or potential side effects like buffer overwrites. Adequate but lacking behavioral depth.

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 concise: two sentences plus an Args/Returns section. It is front-loaded with the purpose and every sentence earns its place. No redundancy.

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

Completeness4/5

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

Given the tool's simplicity (single parameter) and the presence of an output schema (though not shown), the description is largely complete. It covers the parameter well and explains the return. Minor missing behavioral context (e.g., prerequisites) prevents a 5.

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 coverage is 0%, meaning the description adds value beyond the schema's plain 'string' type for the variable parameter. It provides examples ('myVar', '0xD0000100') and explains it can be a name or address, which aids correct invocation.

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

Purpose5/5

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

The description clearly states the verb ('Configure data read trace') and the resource ('on a variable'), and explicitly says it records read accesses. This distinguishes it from siblings like trace_data_write (write trace) and trace_list (list traces).

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 gives an argument with example formats but does not provide explicit guidance on when to use this tool versus alternatives or any exclusions. Usage is implied but not clarified.

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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