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UnboundCompute

lachesis-mcp

Official

representation_roundtrip

Compare two named paths or functions to identify graph-visible differences in calls, controls, conversions, and side effects. Get a structural diff without semantic verdicts, using text or JSON output.

Instructions

Compare two named paths/functions for graph-visible calls, controls, conversions, and side-effect differences. No semantic verdict is inferred.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
leftYes
rightYes
formatNotext (compact, default) | json (structured result page)
Behavior3/5

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

With no annotations, the description carries the full burden and does add one useful behavioral boundary: it will not infer a semantic verdict. However, it does not provide clarity on whether the operation mutates state, the shape of the result, or other behavioral side effects, leaving notable gaps.

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 a single, tightly worded sentence that front-loads the operation, scope, and the key non-goal. There is no filler or unnecessary repetition.

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

Completeness2/5

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

Although the basic action is clear, the tool has no output schema and the description does not explain the returned structure or format semantics beyond the 'text/json' option. The parameter semantics are also under-defined, so this is not a fully self-contained description.

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

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Input schema coverage is only 33%—only 'format' has a description. The description adds minimal clarify by calling left and right 'named paths/functions', but it does not explain how they should be specified or what other concrete information is needed. It fails to compensate for the low schema coverage.

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 identifies a concrete operation—'Compare two named paths/functions'—and lists specific comparison dimensions (calls, controls, conversions, side-effect differences). It does not explicitly differentiate from similar sibling tools like sibling_compare, so it does not earn the highest purpose clarity score.

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?

It provides no guidance on when to use this tool versus alternatives. The caveat 'No semantic verdict is inferred' implies a boundary but does not tell the agent when to choose it over sibling comparison or analysis tools.

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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