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Statable Analytics

update_site

Update site settings by changing its URL, timezone, or week start. Omitted fields remain unchanged, and the updated site is returned.

Instructions

Change a site's url, timezone or week start. Omitted fields are left alone. Returns the updated site. Changing the url to one this account already has is refused (site_exists).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoOptional. Full origin including scheme.
siteYessite_id from list_sites.
timezoneNoOptional IANA name.
week_startNoOptional. 0 = Sunday ... 6 = Saturday.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

No annotations exist, so the description carries the full burden. It discloses key behavioral traits: omitted fields are left alone, the updated site is returned, and duplicate URLs are refused with the site_exists code. This is strong transparency for a mutation tool, though it doesn't mention permissions or the failure mode for a nonexistent site.

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 sentences with no filler. The core action is front-loaded, and each sentence contributes unique information: what changes, how omissions behave, and a key rejection case.

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 low-complexity update tool, the description covers the essentials: target fields, partial update behavior, return value, and an error condition. It does not cover the nonexistent-site case or permission prerequisites, but the schema's site_id reference to list_sites provides some context. Overall it is nearly complete.

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

Parameters4/5

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 each parameter. The description adds value beyond this by explaining partial-update semantics and a specific error condition tied to the url parameter. That goes above the baseline 3.

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 opens with a specific verb and resource: 'Change a site's url, timezone or week start.' It clearly enumerates the mutable fields, making the tool's purpose unmistakable. It also separates it from sibling update tools like update_goal and update_funnel by focusing on site settings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

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

The description implies usage: it is for updating an existing site's settings. The partial-update note ('Omitted fields are left alone') is a useful usage guideline. However, it never explicitly states when not to use this tool or points to alternatives like create_site for creating a new site, so the guidance is only implied rather than explicit.

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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