Simulate a bounded Logisim truth table

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

The description discloses that an external JAR is invoked and that a version self-report is checked, which is beyond the annotations. However, it does not mention potential side effects, failure modes, or the requirement for the JAR to be installed, leaving significant 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 a single dense sentence with no fluff, but it packs multiple clauses (JAR invocation, version check, mode, bounding) into a somewhat convoluted structure. It is reasonably concise but could be clearer with segmentation.

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?

Given the 6-parameter schema and external dependency, the description is insufficient. It does not mention prerequisites like the JAR installation, output details, or parameter semantics. The output schema exists but does not cover the operational context needed for correct 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?

Schema description coverage is only 50%, and the description does not compensate by explaining the undocumented parameters. It indirectly references input width bounding via 'statically bounding declared input width' but fails to clarify limit, timeoutMs, or maxInputBits semantics.

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 it simulates a Logisim truth table via JAR invocation, and the title reinforces this. The mention of CSV/binary table mode distinguishes it from sibling tools like logisim_analyze_design. However, the description is unnecessarily technical and focuses on implementation details rather than the user-facing function.

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?

No guidance is provided on when to use this tool versus alternatives such as logisim_run_test_vector or logisim_analyze_design. The description lacks context for tool selection, leaving the agent to infer applicability from the tool name alone.

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