x80_diff_run

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

With all annotations set to false, the description carries the behavioral burden. It does disclose two meaningful traits: comparison is byte-for-byte, and normalization must be explicitly declared rather than automatic. However, it does not mention that guest and host programs are actually executed with potential side effects, how outputs are stored, or process-group kill behavior, leaving important behavioral gaps.

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 compact at three sentences, with the core operation in the first sentence and the motivating case in the second. The anecdote adds context without bloating the definition, though it is arguably not essential.

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?

This is a complex tool with 6 top-level parameters, nested FileIn/GuestRun/reference objects, and no output schema, yet the description provides only a high-level summary. An agent would not know how to structure guest runs, supply file inputs via host_path vs content_b64, or interpret normalization and comparison options, so the description is incomplete for invocation.

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 description maps the core roles—'same inputs' points to the inputs array, 'guest program' to guest, and 'host reference implementation' to reference—adding semantic value. But with schema description coverage at only 33%, it fails to clarify the remaining parameters: compare modes, normalization enum choices, reference.argv placeholders, and timeout semantics are left to the schema, which is sparse for them.

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 opens with a specific action—'Run the same inputs through a guest program and a host reference implementation and compare the outputs byte for byte'—which clearly identifies the tool's function and differentiates it from sibling run tools like x80_cpm_run and x80_dos_run. The added context about the CP/M .COM versus Python case reinforces the intended differential-testing use.

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 implies the tool is for differential testing—running the same inputs through guest and host—but never states explicitly when to prefer it over x80_cpm_run, x80_dos_run, or x80_probe. There are no exclusions or conditional routing statements, so an agent must infer the appropriate context.

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