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FlowCastle

by ai.flowcastle

validate_actions

Read-only

Dry-run validation of a proposed batch of flow-builder actions. Mutates nothing and is safe to repeat. OPTIONAL: apply_actions runs this exact validation itself and applies nothing when invalid, so calling validate_actions first is redundant — use it only to check a draft you do not intend to apply yet. Returns the same errors and warnings apply_actions would report. Note that passing validation does not mean the design is sound; structural rules live in get_design_guidelines.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
flowIdNoDefault flow id for actions in the batch that do not carry their own. Optional when every action targets an explicit flow.
actionsYesOrdered batch of at least one action, applied in array order. An invalid batch is rejected up front and applies nothing, but execution itself is NOT atomic: if an action fails mid-batch, execution stops there and the actions before it stay applied — re-read state before retrying.
applicationIdNoApplication (workspace) id. Optional: an application-scoped key (app_...) defaults to its own application, but a personal key (usr_...) has no default and omitting it fails with MCP_APPLICATION_REQUIRED. Call list_applications to get the id.
conversationIdNoOptional id used to group the resulting audit records under one editing session.

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, and the description reinforces and extends this with 'Mutates nothing and is safe to repeat.' It also discloses valuable behavioral context beyond the annotation: it returns the same errors and warnings as apply_actions, and passing validation does not guarantee the design is sound. These are meaningful, non-obvious behavioral traits.

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 three sentences with no wasted words. The core purpose and safety property are front-loaded, the redundancy warning is specific, and the design-soundness caveat earns its place by preventing a common misinterpretation.

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

Completeness5/5

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

For a dry-run validation tool, the description is complete: it covers purpose, safety, exact comparison to apply_actions, and a key limitation. The input schema already documents all parameters in detail, and the reference to apply_actions provides enough output semantics in the absence of an output schema. An agent has everything needed to decide whether and how to call it.

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%, with detailed explanations for actions, flowId, applicationId, and conversationId. The description adds high-level context about the batch being a dry run but does not add parameter-level meaning beyond what the schema already provides, so it sits at the baseline of 3.

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 opens with a specific verb and resource: 'Dry-run validation of a proposed batch of flow-builder actions.' It immediately distinguishes itself from apply_actions by stating it mutates nothing, and the title 'Validate action batch (dry run)' reinforces the purpose with no ambiguity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly explains when to use this tool versus the alternative: apply_actions already runs the same validation and applies nothing when invalid, so validate_actions should only be used to check a draft not intended to apply yet. It also routes design-soundness questions to get_design_guidelines, giving crisp when-to-use and when-not-to-use guidance.

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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TDQS

A4.1/5.0
Disambiguation4/5

Each get_/list_ tool targets a distinct resource and the descriptions carefully separate similar pairs like get_application_context vs get_workspace_summary and get_broadcast_details vs get_broadcast_analytics. The main ambiguity is apply_actions vs validate_actions, since one runs the other's validation, but the descriptions make that relationship explicit.

Naming Consistency4/5

Names consistently follow verb_object snake_case and use familiar verbs like create, get, list, and update. Minor deviations such as read_messages instead of list_messages, apply_actions/validate_actions with plural nouns, and run_flow_autotest are still predictable and readable.

Tool Count2/5

33 tools exceeds the 25-tool threshold and makes the surface feel heavy, even though the domain is broad. Many of the read-only getters are individually useful but could be consolidated, such as merging module catalog/details or workspace/application context.

Completeness4/5

Core workflows are covered: application lifecycle, flow editing through apply_actions, deployment, contacts, broadcasts, modules, and message/event reads. Minor gaps exist, such as no dedicated delete for contacts, applications, or broadcasts, and no rollback for deployments, but agents can work around or avoid these.

Resources