Skip to main content
Glama

timps_demand_forecaster

Forecast SKU/location-level demand with seasonality, promotions, and trend. Get prediction intervals, backtest MAPE/MASE, and an ordering recommendation to guide inventory decisions.

Instructions

Produce a SKU/location-level demand forecast with seasonality, promotions, and trend. Returns intervals, backtest MAPE/MASE, and an ordering recommendation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestNoPlain-English task or context for the agent.
languageNoPrimary programming language (default: python).python
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It mentions outputs (intervals, backtest MAPE/MASE, ordering recommendation) but does not mention side effects, data access, or safety profile. A forecasting tool is likely non-destructive, but this is not stated, leaving the agent uncertain.

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 two sentences, front-loaded with the core purpose and then the key outputs. Every word earns its place—no fluff, no redundancy, perfectly concise.

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?

While the tool is complex (forecasting) and has no output schema, the description adequately covers return values (intervals, MAPE/MASE, ordering recommendation). However, it does not specify how the request parameter should be structured or what information is expected, leaving some ambiguity for a free-form input.

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 coverage is 100% for both parameters (request and language), so the baseline is 3. The description does not add any detail beyond the schema; it neither elaborates on how to phrase the request nor explains the language parameter, so it adds no value here.

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's purpose: to produce a demand forecast at SKU/location level, including seasonality, promotions, and trend. It specifies the granularity and key features, distinguishing it from the many generic sibling tools like timps_dispatch or timps_run_task.

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

Usage Guidelines3/5

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

The description implies usage for demand forecasting but provides no explicit when-to-use guidance, prerequisites, or alternatives. Given the large list of sibling tools, it does not explicitly differentiate or state when this tool is preferred over others.

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/Sandeeprdy1729/timps-swarm'

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