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Load a project and count Logisim components

logisim_component_stats
Idempotent

Analyze Logisim-evolution project files to produce component statistics, verifying project authenticity via the installed application and optional digest.

Instructions

Invokes the separately installed JAR, after it self-reports Logisim-evolution 4.1.0, with --tty stats. Success proves that configured process loaded the staged project, not behavioral simulation or binary authenticity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesWorkspace-relative .circ project ref
limitNo
circuitNoCircuit name; defaults to the declared main circuit
timeoutMsNo
expectedProjectDigestNoOptional sha256: digest from a prior cross-model handoff

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
dataNo
errorNo
contextYes
summaryYes
diagnosticsYes
nextActionsYes
contractVersionYes
Behavior4/5

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

The description discloses an external dependency ('separately installed JAR'), a version precondition ('after it self-reports Logisim-evolution 4.1.0'), and a limitation ('Success proves that configured process loaded the staged project, not behavioral simulation or binary authenticity'). This adds value beyond annotations, which only indicate idempotent and non-destructive behavior.

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

Conciseness3/5

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

The description is only two sentences and not verbose, but it is not well-structured: the primary purpose is in the title, and the first sentence leads with the invocation mechanism rather than the intended outcome. Some phrasing is cryptic ('--tty stats', 'staged project').

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?

The output schema and annotations provide some coverage, but the description lacks usage context, does not explain what 'stats' includes, and does not address the external JAR prerequisite or installation. It also fails to position the tool among siblings, making it incomplete for effective selection and invocation.

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?

The description adds no parameter information. The schema covers 3 of 5 params with descriptions (path, circuit, expectedProjectDigest), but limit and timeoutMs are undocumented. The description does not compensate for the missing coverage or clarify parameter usage.

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 title clearly states 'Load a project and count Logisim components', and the description adds invocation details ('Invokes the separately installed JAR... with --tty stats'). However, the description focuses on the mechanism rather than explicitly stating the counting purpose, and it does not distinguish from sibling tools like logisim_analyze_design.

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?

The description provides no explicit guidance on when to use this tool versus alternatives. The caveat 'not behavioral simulation or binary authenticity' is a clarification, not a usage directive. No alternative tools are mentioned.

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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