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Update workspace settings

update_workspace_settings
DestructiveIdempotent

Renames the workspace, or sets the from-name and reply-to used on the emails Underlayer sends learners. The workspace name is also the fallback issuer printed on certificates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoNew workspace name, up to 80 characters. Omit to leave it unchanged.
notificationReplyToNoReply-to address on emails sent to learners; null removes it. Omit to leave it unchanged.
notificationFromNameNoSender name on emails Underlayer sends learners, up to 80 characters; null goes back to the default sender name. Omit to leave it unchanged.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
notificationReplyToYesReply-to address on learner emails. Null means none.
notificationFromNameYesSender name on learner emails. Null means the default.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already establish that this is a write (readOnlyHint=false) and idempotent operation. The description then adds genuinely useful behavioral context beyond those annotations: setting the workspace name affects the fallback issuer shown on certificates)Skip that this is not just a cosmetic rename. It does not contradict the annotations.

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 core update action is front-loaded, and the certificate fallback sentence adds important contextual value rather than repeating the title or schema.

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

Completeness5/5

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

Given the small optional parameter set, a complete schema with per-parameter descriptions, an output schema, and annotations covering read-only/destructive/idempotent behavior, the description has no major gaps. It explains the core effecthe certificate side-effect, which is enough for an agent to invoke the tool correctly.

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?

With 100% schema coverage, the parameter baseline is 3. The description adds one meaningful piece of extra semantics beyond the schema: the workspace name also serves as the fallback issuer on certificates, which explains a downstream consequence of changing the `name` parameter. The rest of the description largely paraphrases the schema's parameter descriptions, but the certificate link justifies a 4.

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 names a specific verb ('renames', 'sets') applied to a specific resource ('the workspace', 'emails Underlayer sends learners'), and it immediately differentiates this from other update_* siblings by focusing on workspace-level fields. The additional note about certificates is a useful clarifying detail, not a vague restatement.

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?

The description says what the tool does but never says when to use it versus alternatives, nor what conditions would make a different tool more appropriate. There is no 'when not to use' guidance and no mention of prerequisites such as membership or permission requirements, so the agent must infer usage entirely from the task/resource.

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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