Export CSV
roadflow_export_csvExport steps as CSV (road, goal, lane, step, notes, type, status, position, date).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
roadflow_export_csvExport steps as CSV (road, goal, lane, step, notes, type, status, position, date).
| 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 the full burden of behavioral disclosure. It states the tool exports data (a read-like operation) but doesn't disclose whether this is guaranteed non-destructive, whether it requires an existing road, what happens with no data, or how file downloads/returns are handled. For a zero-annotation tool, this is thin coverage.
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?
A single compact sentence that efficiently conveys the format (CSV) and the field list in parentheses. No wasted words. It earns its place, though a touch more context (return format) could be added.
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 tool with no output schema, the description is moderately complete: it names the output format and all included fields. However, it doesn't clarify whether the CSV is returned inline, written to disk, or offered as a download, and doesn't explain what 'steps' represents in the roadflow domain. Given the simplicity of the tool, this is adequate but with room to close the return-format gap.
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 zero parameters and 100% schema coverage (an empty schema correctly signals no inputs). With no params, the baseline is 4 per the rubric. The description lists the exact columns included in the export, which adds useful context beyond the empty schema even though there are no parameters to document.
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 it exports steps as CSV and lists the included fields (road, goal, lane, step, notes, type, status, position, date). It is distinguishable from siblings roadflow_export_json and roadflow_export_markup by naming the CSV format. However, it doesn't explain what 'steps' means conceptually or what the output is used for, relying on context free of detail.
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 CSV export versus JSON or Markup export alternatives. The description implies export usage but provides no exclusions, no context for when CSV is preferred, and no mention of prerequisites (e.g., must a road/plan exist first?). Among the export siblings, there's no differentiation 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.