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circuitry-dev

Circuitry MCP Server

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codebook.getExecutionTarget

Retrieve the active Python execution environment for new code cells in Circuitry's visual workflow platform.

Instructions

Get the current Python execution target for new code cells.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden. It states it's a read operation ('Get'), but lacks details on permissions, error conditions, or return format. While it hints at a simple query, more behavioral context (e.g., what 'execution target' entails) would improve transparency.

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, clear sentence with no wasted words. It's front-loaded with the core purpose and efficiently conveys the tool's function without unnecessary elaboration.

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

Completeness3/5

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

Given the tool's simplicity (0 params, no annotations, no output schema), the description is adequate but could be more complete. It explains what the tool does but lacks context on why this matters or what the returned 'execution target' represents, which might help an agent use it correctly.

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?

The tool has 0 parameters with 100% schema description coverage, so no parameter documentation is needed. The description doesn't add param info, but that's appropriate here. Baseline is 4 for zero-param tools, as the schema fully covers the absence of inputs.

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 ('Get') and resource ('current Python execution target for new code cells'), making the purpose specific and unambiguous. It distinguishes from sibling tools like 'codebook.setExecutionTarget' by focusing on retrieval rather than modification.

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 implies usage when needing to know the execution target, but provides no explicit guidance on when to use this tool versus alternatives or prerequisites. For example, it doesn't specify if this should be used before running code cells or in conjunction with 'codebook.setExecutionTarget'.

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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