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sesonet

freelo-mcp-server

Official
by sesonet

Freelo Get Project Details

freelo_get_project_details
Read-only

Retrieve complete project details, including workers, tasklists, and settings, by providing a project ID. Use this to access structured project data for management or reporting.

Instructions

Fetches detailed information about a specific project including workers, tasklists, and settings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdYesProject ID (e.g., "197352"). Get from freelo_get_projects.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesProject ID
nameYesProject name
tagsNoProject tags
ownerNoProject owner
stateNoProject state
clientNoClient information
workersNoProject workers
date_addNoISO 8601 date-time format (e.g., "2021-10-04T09:32:00+02:00")
tasklistsNoActive tasklists
currency_isoNoProject currency
custom_fieldsNoCustom fields
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

B3.4/5.0
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 covered. The description adds useful context about what is fetched (workers, tasklists, settings), but does not disclose details like response size, filtering behavior, or whether all project fields are returned.

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 sentence with no filler. It front-loads the action and resource, then lists the key content areas. Every word earns its place.

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?

With an output schema present, return-value details are not required. The combination of description, annotations, and schema sufficiently covers the tool's purpose, safety, and single parameter. The main gap is the lack of usage guidance relative to sibling tools, but that is already penalized in the usage dimension.

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%, so the schema already documents the projectId parameter, including an example and where to obtain it. The description adds no additional parameter semantics, but none are needed given the schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb ('Fetches'), resource ('detailed information about a specific project'), and the main included content ('workers, tasklists, and settings'). It is clear about what the tool does, though it does not explicitly differentiate from closely related siblings like freelo_get_project_workers or freelo_get_project_tasklists.

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 gives no guidance on when to use this tool versus alternatives. The schema parameter note says to get projectId from freelo_get_projects, but the description itself does not state usage context, prerequisites, or when not to use this tool.

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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