Skip to main content
Glama

run_export

Execute an export action to retrieve data inline, handling the full run-wait-download lifecycle. Ideal for bulk reports across all products, customers, or regions.

Instructions

Execute an export and return the data inline. Best for bulk reports across all products/customers/regions -- prefer this over calling read_cells in a loop. Handles the full run-wait-download lifecycle. Use show_exports first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceIdYesAnaplan workspace ID or name
modelIdYesAnaplan model ID or name
exportIdYesExport action ID or name
saveToDownloadsNoIf true, save the exported file to ~/Downloads
fileNameNoOptional local file name when saveToDownloads is true
Behavior4/5

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

Describes the run-wait-download lifecycle and that data is returned inline; no annotations, so description carries burden. Could mention potential long duration or output format but still strong.

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?

Three purposeful sentences, front-loaded with the core action. No fluff.

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?

No output schema, but description states data returned inline. Could clarify output format or size limits, but overall sufficient for agent 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?

Input schema has 100% description coverage, so baseline is 3. Description adds context but no parameter-specific details beyond what schema already provides.

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 clearly states the tool executes an export and returns data inline, specifies it is for bulk reports, and distinguishes it from read_cells.

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?

Explicitly says best for bulk reports, prefer over read_cells in a loop, and mentions using show_exports first, providing clear when-to-use and prerequisite.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/larasrinath/anaplan-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server