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cathrynlavery

Tally MCP Server

create_conditional_logic_block

Build structured conditional logic blocks for form flow control using trigger fields, comparison operators, and target blocks. Define conditions to direct user paths and manage form behavior effectively.

Instructions

Create properly structured conditional logic blocks with validation for form flow control

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
conditionsYesArray of conditional rules
defaultTargetNoUUID of block to jump to if no conditions are met
logicTypeNoType of conditional logic pattern
triggerFieldYesUUID of the field that triggers the condition
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. While it mentions 'validation' and 'form flow control,' it doesn't specify what happens during creation (e.g., whether it's idempotent, what permissions are needed, if it modifies existing structures, or what errors might occur). For a creation tool with zero annotation coverage, this leaves 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.

Conciseness4/5

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

The description is a single, efficient sentence that states the core purpose without unnecessary words. It's front-loaded with the main action and resource. However, it could be slightly more structured by explicitly separating purpose from constraints or outcomes.

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?

Given the complexity of creating conditional logic (involving multiple parameters with specific structures like arrays and enums) and no annotations or output schema, the description is incomplete. It doesn't explain what 'properly structured' means, what validation entails, or what the tool returns upon success/failure, leaving the agent with insufficient context for reliable use.

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?

Schema description coverage is 100%, so the schema already documents all 4 parameters thoroughly with descriptions and enums. The description adds no additional parameter semantics beyond what's in the schema, such as explaining relationships between parameters or providing examples. Baseline 3 is appropriate when the schema does the heavy lifting.

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 clearly states the action ('create') and resource ('conditional logic blocks') with additional context about validation and form flow control. However, it doesn't explicitly differentiate from sibling tools like 'validate_form_logic_flow' or 'validate_multiple_choice_logic' which might handle similar validation aspects.

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 guidance on when to use this tool versus alternatives like 'get_conditional_logic_templates' (which might provide templates) or 'validate_form_logic_flow' (which might validate existing logic). There's no mention of prerequisites, dependencies, or specific use cases that would help an agent choose this tool over others.

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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