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sesonet

freelo-mcp-server

Official
by sesonet

Freelo Get Tasklist Details

freelo_get_tasklist_details
Read-only

Fetch detailed information for a specific tasklist, including name, description, color, workers, and settings. Provide the tasklist ID to retrieve full project management context.

Instructions

Fetches detailed information about a specific tasklist including name, description, color, workers, and settings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tasklistIdYesTasklist ID (e.g., "12345"). Get from freelo_get_project_tasklists.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesTasklist ID
nameYesTasklist name
colorNoTasklist color
orderNoTasklist order
date_addNoISO 8601 date-time format (e.g., "2021-10-04T09:32:00+02:00")
date_edited_atNoISO 8601 date-time format (e.g., "2021-10-04T09:32:00+02:00")

Schema Changelog

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

  1. First observedv0.5.0

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is clear. The description adds useful content-level detail about workers and settings but does not mention error cases, rate limits, or response behavior beyond what the output schema likely already communicates.

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 a single, front-loaded sentence that names the action and object immediately. Every detail included earns its place, and there is no redundant filler.

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?

For a single-parameter read-only tool with full schema coverage, an output schema, and read-only annotations, the description is largely sufficient. A short pointer to sibling alternatives would make it fully complete, but nothing essential is missing for making a correct call.

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 description coverage is 100%, and the parameter description already provides the ID format ('e.g., "12345"') and its source (freelo_get_project_tasklists). The tool description only restates 'specific tasklist' and adds no new parameter semantics, so the baseline score of 3 is appropriate.

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') and a specific resource ('a specific tasklist') while enumerating the returned content: name, description, color, workers, and settings. This clearly differentiates it from sibling tools like freelo_get_project_tasklists, which retrieve collections rather than a single tasklist's details.

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 it should be used when a single tasklist's details are needed, and the parameter schema points to freelo_get_project_tasklists as the source of the ID. However, it never explicitly states when not to use this tool or names alternatives, so usage guidance is largely left to inference.

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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