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sync_connectors_from_equations

Add missing dependency connectors inferred from flow and auxiliary equations to keep Stella models structurally consistent.

Instructions

Add missing dependency connectors inferred from flow and auxiliary equations

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
model_idNoSession-scoped model ID. Optional; defaults to the current model for this session.
workspace_idNoOpaque application workspace handle. Required by MCP 2026-07-28 clients; supported legacy stdio clients may omit it to use the process-local compatibility workspace.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
addedYes
existingYes
model_idYes
Behavior4/5

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

Annotations already indicate readOnly=false and destructiveHint=false. The description adds valuable context by specifying 'missing', which indicates it only adds absent connectors and does not alter existing ones. It also clarifies the inference mechanism from equations, enriching the safety profile beyond the annotation defaults.

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 action and object. The qualifier 'inferred from flow and auxiliary equations' is essential context, not redundant fluff, and there is no wasted language.

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

Completeness4/5

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

The tool has only 2 optional parameters and an output schema, so the description does not need to explain return values. It covers the core behavior well, though it omits explicit prerequisites (e.g., model must exist with flows/equations). Overall, it provides enough context for an agent to use the tool correctly.

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

Parameters3/5

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

The input schema provides complete descriptions for both optional parameters (model_id and workspace_id), so the baseline is set at 3. The description does not add any extra parameter-level guidance, such as which parameter to use in different scenarios, but the schema itself is sufficient.

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 uses a specific verb ('Add') and resource ('missing dependency connectors'), while also stating the inference source ('from flow and auxiliary equations'). This clearly distinguishes it from the sibling tool add_connector, which suggests manual connector creation.

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 after flows and auxiliary equations are defined to fill in connector gaps, but it does not explicitly state when to prefer this over add_connector or set_connector_routing, nor does it mention any exclusions. The context is present but only implicitly.

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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