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Update project

projects_update

Update fields on a project, including revenue / revenue_ceiling and the materials, external-services and expense budgets. Status/budget_type accept case-insensitive values.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleNo
statusNo
deal_idNo
revenueNoAgreed contract sum (drives margin on Fixed-price projects).
archivedNo
end_dateNo
manager_idNo
project_idYes
start_dateNo
budget_typeNoFixed | Time | Time&Material. Required - ask the user rather than assuming.
customer_idNo
descriptionNo
budget_amountNoBudgeted internal TIME cost - not revenue.
budget_expensesNo
revenue_ceilingNo
budget_materialsNo
budget_external_servicesNo

TDQS

B3/5.0
Behavior3/5

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

Annotations already establish that the tool is not read-only and not destructive, so the description's job is to add context. It adds the case-insensitivity behavior for status/budget_type and highlights which budget fields are updateable. It does not mention whether unprovided fields remain unchanged or how partial updates behave, which is relevant for a 17-parameter update tool.

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?

Two sentences with no filler: the first states the action and affected field groups, the second provides a useful input-format exception. The description is appropriately sized and front-loaded.

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?

With 17 parameters, a low 18% schema-description coverage, no output schema, and no mention of update semantics (partial vs. replace) or return type, the description leaves substantial gaps for an agent trying to call this tool correctly. It also lacks guidance on the many sibling update tools, making it incomplete for the tool's complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 18%, and the description names only a subset of parameters (revenue, revenue_ceiling, and the budget categories), adding some meaning. It also notes case-insensitive values for status/budget_type. However, most of the 17 parameters (title, dates, manager_id, customer_id, description, etc.) receive no semantic help from either the schema or the description, so it undercompensates for the low 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 uses the explicit verb 'Update' with the resource 'project' and enumerates the affected field groups (revenue, revenue_ceiling, and budget categories), making the core function clear. It does not explicitly differentiate from sibling tools like projects_update_material or projects_update_team_member, but the wording 'a project' versus sub-resources is reasonably distinct.

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?

No guidance is provided on when to choose projects_update over the many sibling update tools such as projects_update_billing_milestone or projects_update_material. The only usage hint is that status/budget_type accept case-insensitive values, which is about value formatting, not tool selection.

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

B3.4/5.0
Disambiguation4/5

Most tools follow a clear resource+action pattern and the descriptions are unusually precise about boundaries. A few near-overlaps remain: projects_get_finance vs projects_get_financials, and notes_create vs crm_log_activity on a deal are both plausible for recording a note on a deal.

Naming Consistency4/5

The domain_prefix_action convention is consistent across nearly all tools, e.g. crm_create_lead, projects_update_risk, timelog_approve_time. Deviations include standalone list_trash, meta tools like whoami/tool_search/tool_invoke, and the confusing projects_get_finance/projects_get_financials pair.

Tool Count1/5

With 105 tools, this far exceeds the 50+ threshold defined as an extreme mismatch. Even for a full ERP/CRM suite, the fine-grained split—39 project tools alone—creates a massive tool-selection surface that is hard for an agent to navigate reliably.

Completeness4/5

The surface covers CRM, projects, tasks, time/expenses, HR, notes, notifications, contracts, and reporting with create/read/update/delete for most primary entities. Minor gaps exist: crm_log_activity has no read-back path, contracts lack delete/restore, and proposals are intentionally read-only, but agents can work around these.