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sesonet

freelo-mcp-server

Official
by sesonet

Freelo Get All States

freelo_get_all_states
Read-only

Fetch all available task states in Freelo to map lifecycle statuses (active, finished) and use the correct state_id for filtering tasks.

Instructions

Fetches all available task states in Freelo. States represent task lifecycle (1=active, 2=finished). Essential for state_id filters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYesItems in the response

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.5.0

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already signal a safe read-only operation. The description adds valuable behavioral context beyond the schema by documenting the numeric state mapping and emphasizing that the result is needed as filter input. It does not contradict the annotations and enriches understanding of how the data should be used.

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?

Two short, purposeful sentences front-load the core purpose, then add the only two pieces of essential context: the numeric lifecycle mapping and the primary use case. There is no filler or redundant restating of the tool name.

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

Completeness5/5

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

This is a zero-parameter, read-only lookup tool with an output schema. The description fully covers what the tool returns, why an agent would need it, and how the values are encoded. Nothing needed for correct invocation is missing.

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

Parameters4/5

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

The input schema is empty, so there are no parameters to document. With zero parameters, the baseline is 4; the description still contributes semantic value by explaining what states mean and why they matter, which compensates for the absence of parameters entirely.

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 uses a specific verb ('Fetches') with an explicit resource ('all available task states in Freelo') and adds domain meaning by explaining the lifecycle values (1=active, 2=finished). It clearly distinguishes itself from sibling tools by focusing on states rather than tasks, projects, or time tracking.

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

Usage Guidelines4/5

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

The description states a clear use context: 'Essential for state_id filters.' This tells an agent when the tool's output matters, though it does not explicitly mention when not to use it or name alternative tools. Since no sibling tool appears to specialize in states, the guidance is sufficient but not exhaustive.

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

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