Skip to main content
Glama

Project Manage Tool

project_manage

Manage continuous and one-shot projects within FleetQ's MCP server. Perform actions like creating, scheduling, activating, pausing, and monitoring project runs to control automated workflows.

Instructions

Manage projects (continuous & one-shot). Actions: list, get (project_id), create (name, type, workflow_id), update (project_id + fields), activate (project_id), pause, resume, restart, trigger_run (project_id), archive (project_id), schedule (project_id, frequency, cron), schedule_nlp (project_id, natural language schedule), run_list (project_id), run_get (project_id, run_id).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesAction to perform: list, get, create, update, activate, pause, resume, restart, trigger_run, archive, schedule, schedule_nlp, run_list, run_get
statusNoFilter by status: draft, active, paused, completed, archived, failed
typeNoFilter by type: one_shot, continuous
limitNoMax results to return (default 10, max 100)
project_idYesThe project UUID
titleYesProject title
descriptionNoProject description
goalNoProject goal
execution_modeNoExecution mode: autonomous (full tool access) or watcher (read-only tools only). Default: autonomousautonomous
workflow_idNoUUID of an active workflow to run for each project execution. The workflow must be in active status.
crew_idNoUUID of a crew to run for each project execution. Alternative to workflow_id.
allowed_tool_idsNoRestrict which tools agents can use in this project. Pass an array of tool UUIDs. Empty = all team tools allowed.
allowed_credential_idsNoRestrict which credentials are available to agents in this project. Pass an array of credential UUIDs.
scheduleNoSchedule configuration. Required for continuous projects — omitting it creates a project that never runs. Use project_schedule_nlp to parse natural language schedules.
operationYesget: read schedule details | update: change schedule settings | enable: turn on the schedule | disable: turn off the schedule
run_idYesThe project run UUID
Behavior2/5

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

Annotations are empty, so description carries full disclosure burden. It mentions 'continuous & one-shot' but doesn't explain their behavioral differences, lifecycle states, or side effects (e.g., what happens to running executions when pausing, whether archive is reversible, what trigger_run returns). No mention of permissions, rate limits, or asynchronous behavior.

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

Conciseness3/5

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

Single dense sentence parenthetically listing all actions. While not verbose, the structure impedes readability—it is a wall of text without breaks, bulleted lists, or logical grouping (CRUD vs lifecycle vs scheduling vs runs). Every word serves a purpose, but the presentation could be better structured for an AI parsing context.

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

Completeness2/5

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

Given 16 parameters (including nested schedule objects), complex entity relationships (projects reference workflows/crews), and no output schema, the description is inadequate. It omits the project lifecycle flow, the relationship between projects and runs, scheduling mechanics, and expected return values. The 'required' array in schema appears incorrect (listing mutually exclusive params as jointly required), which the description fails to clarify.

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 enjoys 100% description coverage, establishing a baseline. The description attempts to add value by mapping actions to their typical parameters (e.g., 'create (name, type, workflow_id)'), which helps clarify the polymorphic interface. However, it uses inaccurate shorthand ('name' instead of actual param 'title'; 'cron' instead of 'cron_expression'), potentially misleading the agent about valid JSON keys.

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?

Clearly states 'Manage projects (continuous & one-shot)' and enumerates 14 specific actions (list, get, create, update, activate, pause, resume, restart, trigger_run, archive, schedule, schedule_nlp, run_list, run_get). Verb and resource are specific. However, it fails to differentiate what constitutes a 'project' versus sibling entities like 'workflow' or 'crew' (which appear as parameters), leaving conceptual ambiguity.

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?

Lists available actions but provides no guidance on when to use this tool versus workflow_manage, crew_manage, or agent_advanced. No mention of prerequisites (e.g., needing an active workflow before creating a project), action sequencing, or state transitions. The description is purely a capability list without strategic usage context.

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/escapeboy/agent-fleet-o'

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