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Glama

Create a project for a client

create_project

Create a new project inside a client workspace (e.g. Website, Google Ads, Newsletter, Reporting). Only create one when no existing project fits — call list_projects first. Give it a goal so every task under it inherits the intent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
goalNoOne line: what this project is trying to achieve.
nameYes
clientNoName or @handle of the client. Fuzzy-resolved.
brief_mdNoLonger markdown brief seeded into the project context.
deadlineNo
client_idNo

TDQS

A4.4/5.0
Behavior4/5

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

Annotations only mark the tool as non-read-only and non-destructive, so the description adds useful behavioral context: projects are scoped to a client workspace and the goal seeds intent inherited by tasks. It does not discuss duplicate handling, auth, or return behavior, but those are secondary for a create tool already annotated as non-destructive.

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?

Three short sentences: the action, the precondition, and the key guidance. It is front-loaded, scannable, and every sentence 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?

For a 6-parameter mutation with no output schema, the description gives the essential before-create workflow and a meaningful rule for setting goals. It omits what the call returns and how to disambiguate client vs client_id, but the schema covers some of that and sibling tools like get_project_context and list_projects provide follow-up paths.

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 exactly 50%, with goal, client, and brief_md already described. The description adds meaningful guidance for the goal parameter ('every task under it inherits the intent'), but it does not compensate for the undocumented name, deadline, or client_id parameters beyond what the schema types/formats provide.

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 states a concrete action ('Create') and resource ('a new project inside a client workspace') with concrete examples like Website and Google Ads. It clearly distinguishes this from list_projects and update_project, so an agent can identify the right tool without opening 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 Guidelines5/5

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

It gives explicit when-to-use guidance by saying to call list_projects first and only create a project when no existing one fits. It also names the relevant alternative, which is exactly the kind of decision guidance an agent needs.

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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TDQS

A3.7/5.0
Disambiguation3/5

Most tools target a distinct resource and action, but several adjacent pairs are easy to confuse: add_comment vs add_progress_note, call_executor vs call_integration, log_client_decision vs update_client_context vs memory_save, and list_context_sources vs list_integrations. The descriptions do disambiguate them, but the boundaries are subtle enough that misselection is likely with 81 tools.

Naming Consistency4/5

The overwhelming majority follow a clear verb_noun snake_case pattern (create_task, update_project, list_integrations, set_webhook), and get_/ list_/ create_/ update_ families are predictable. Minor deviations exist: memory_read/memory_save/memory_search invert to object_verb, and bare nouns like whoami, glossary, and security_posture break the pattern, but there is no chaotic casing or mixed conventions.

Tool Count2/5

At 81 tools, this is far above the weight that is comfortable for an agent's tool-selection surface, especially since many tools belong to families that could be consolidated (webhooks, worker keys, project logs, context/memory). Although the domain is broad, the count will overwhelm agents and increase misrouting.

Completeness4/5

The surface is unusually comprehensive: tasks, projects, workers, leases, artifacts, comments, handoffs, webhooks, keys, context, memory, integrations, and support all have create/read/update/delete or equivalent lifecycle coverage. The gaps are minor, such as remove_dependency without a visible add_dependency and no artifact/comment deletion, but agents can work around them.

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