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workspace_usage

Read-only

The workspace's usage against its plan: record and seat limits (used / max, over the limit or not) and this month's AI credits (included, used, remaining, hard stop) by feature.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

The readOnlyHint=true annotation already establishes this is a safe, non-mutating read. Beyond that, the description adds genuinely useful semantics: limits are expressed as used/max with an over-limit flag, and credits include included/used/remaining plus a hard-stop indicator. It still says nothing about data freshness, scope of the reporting period beyond 'this month,' or how 'by feature' is keyed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence, front-loaded with the resource ('The workspace's usage against its plan') followed by the two payload groups. The nested parenthetical lists are dense but every clause names an actual returned value, so nothing is wasted.

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?

With no output schema, the description carries the burden of describing return values, and it does so field by field for both the limit and credit sections. Given zero parameters and simple read semantics, this is nearly complete, though it leaves the shape of the 'by feature' breakdown and the exact time window unexplained.

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?

The tool takes zero parameters, so the baseline is 4. The description correctly implies no input is needed — usage is determined implicitly from the authenticated workspace context.

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 states a specific resource and scope: the workspace's usage against its plan, broken into record/seat limits and monthly AI credits by feature. An agent can tell it reports plan consumption rather than activity. However, it does not differentiate itself from near-neighbors like ai_usage_summary or workspace_activity, which appear to overlap on AI credit reporting.

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?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives such as ai_usage_summary for AI-specific consumption or workspace_activity for event-style history. The agent must infer applicability purely from the returned-field list.

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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