Export JSON
roadflow_export_jsonExport the current workspace as JSON (serializeState).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
roadflow_export_jsonExport the current workspace as JSON (serializeState).
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden for behavioral disclosure. The mention of 'serializeState' adds some transparency about what function it calls, but it doesn't describe the return format, whether this is read-only, size limits, or any side effects. Minimal behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence, compact, front-loaded with the key verb. The parenthetical '(serializeState)' adds a small implementation hint. Efficient for a zero-parameter export tool, though slightly sparse.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter export tool, the description is mostly adequate. However, given the export-centric siblings (CSV, markup, JSON) and no output schema, it could clarify what the JSON output structure looks like or how it relates to roadflow_apply_json for round-tripping. Also lacks clarification of read-only nature since no annotations exist.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has 0 parameters with 100% schema coverage (no properties, so nothing undocumented). With zero parameters, the description needs no parameter documentation, and the baseline of 4 applies. Any param information would be irrelevant here.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the verb (export) and resource (current workspace as JSON) clearly, mentioning serializeState for implementation context. However, it doesn't distinguish from sibling roadflow_export_csv and roadflow_export_markup beyond the format name, which is somewhat implicit in the tool name itself.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this vs roadflow_export_csv or roadflow_export_markup. The context signals show 9 siblings including other export tools, yet the description provides no differentiation or when-to-use guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Many tools are mirrored across `artifacts_*` and `roadflow_*` with near-identical names and behavior, and within each family `get`, `export_json`, and `export_markup` overlap in what they return. Descriptions identify the target workspace, but an agent must carefully inspect prefixes and formats to avoid misselection.
The set consistently uses lowercase snake_case with a domain prefix and predictable verbs like get, list, create, open, export, and apply. Minor deviations are bare commands (`new`, `discard`, `status`) and the parallel `artifacts_*`/`roadflow_*` prefixes, which make names look duplicated.
At 23 tools, the surface lands in the heavy 16-25 range and feels padded because many operations are duplicated for two workspace types. Each subsystem alone would have a reasonable count, but combined the set is bloated.
The toolset covers the full workspace lifecycle: create, read, update via apply, discard, share, version, status, and multiple export formats. Missing cloud deletion and fine-grained element editing are minor gaps that can be worked around with full-state apply/export.