Skip to main content
Glama
Lkhanaajav

timeseries-mcp

by Lkhanaajav

trend_test

Estimate trends in time-series data using OLS, robust Theil-Sen, and Mann-Kendall tests.

Instructions

Estimate trend three ways: OLS, robust Theil-Sen, and the Mann-Kendall test.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
series_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
directionYes'increasing', 'decreasing', or 'no significant trend'.
series_idYes
mann_kendallYesA single statistical test outcome.
ols_r_squaredYes
change_over_spanYesTheil-Sen slope × (n-1): total modeled change.
theil_sen_ci_lowYes
theil_sen_ci_highYes
ols_slope_per_stepYes
theil_sen_slope_per_stepYes
Behavior2/5

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

With no annotations provided, the description alone must convey behavioral traits. It only states the action (estimate three ways) without disclosing whether the operation is read-only, what the output format is, or any side effects. The existence of an output schema is not mentioned, and the description lacks depth beyond the core action.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no fluff. However, it is so brief that it sacrifices valuable information for conciseness.

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

Completeness1/5

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

Given the tool's complexity (three estimation methods) and the lack of annotations or parameter descriptions, the description is severely incomplete. It omits how to select a method, what the output contains, and any prerequisites. The agent cannot fully understand how to use this tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not explain the single parameter 'series_id' beyond its name. The description adds no meaning to the parameter, leaving the agent to guess its purpose or constraints.

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 verb 'estimate' and the resource 'trend', specifying exactly three methods (OLS, Theil-Sen, Mann-Kendall). This distinguishes it from sibling tools like detect_anomalies or decompose, making its purpose unambiguous.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives, no prerequisites, and no conditions for choosing among the three methods. This leaves the agent without context for appropriate invocation.

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/Lkhanaajav/timeseries-mcp'

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