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SuiteDash: Create project

suitedash_create_project

SuiteDash: New project for a client, optionally from a Task Template. Creates a project for one client. With task_template, the project gets that template's tasks and phases. Nothing is sent to the client, and the project can be archived afterwards, so this tool runs without asking. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesProject Name.
client_idYesClient UID from find_contact.
start_dateNoProject Start Date.
task_templateNoTask Template name; adds its tasks and phases.
completion_dateNoEstimated Completion Date.
estimated_valueNoEstimated value, e.g. "2500 USD".

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior5/5

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

Goes well beyond the annotations by disclosing that nothing is sent to the client, that the project can later be archived (reversibility), that it should run without confirmation, and that a Cotlet API key with app access is required. These are exactly the behavioral traits annotations do not carry.

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?

The scope constraint is front-loaded, but the first three sentences restate the same idea (new project for a client, optionally from a template) before adding anything new. The two-sentence opening is redundant rather than wasteful, but it is not zero-waste.

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 mutation tool with no output schema, it covers safety, side effects, reversibility, and auth, which is strong. The remaining gap is that it never indicates what the call returns (e.g., a new project identifier), which an agent would need for follow-up calls.

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 all six parameters. The description adds a little meaning for task_template (it brings tasks and phases) but nothing for client_id, dates, or estimated_value; baseline 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?

States a specific verb and resource (creates a project for one client) plus the optional task_template behavior, which clearly distinguishes it from siblings like suitedash_list_projects or suitedash_add_task. An agent can tell exactly what this produces without reading the schema.

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?

Gives clear invocation context: it creates for a single client, notifies nobody, and is reversible via archiving, which justifies calling it without asking. It never names an alternative tool or an explicit when-not-to-use condition, so it falls short of the top band.

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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