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devtune_get_project_usage

Read whether the project is paused and its usage: active prompts, credits spent this credit period, AI Traffic events this UTC month, and tracked pages against the page limit. Each figure carries its own period. A paused project starts no probes, agents, crawls, audits or data syncs, drops new AI Traffic, and gives credentials read access only, so writes are refused until it is resumed in the app. Its prompts and project slot do not count against the account while paused. Credits include credits held by running work until it settles. trackedPages is null until the first page-tracking status is computed. Available to every credential.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.4/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and does so richly: a paused project starts no probes/agents/crawls/audits/syncs, drops new AI Traffic, gives read-only credentials so writes are refused, and its prompts/slot stop counting. It also explains that credits include credits held by unsettled running work and that trackedPages is null until first computed.

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?

Front-loaded with the read target, then the paused-project consequences and credit/null caveats. Dense but every sentence is load-bearing; slightly long, though nothing is wasted.

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?

No output schema exists, so the description must explain return values, and it does: it enumerates the figures, their distinct periods, the null convention, and the paused-state effects. An agent has everything needed to call and interpret it.

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?

Zero parameters, so the baseline is 4. The description additionally clarifies field-level semantics of the returned figures (per-figure periods, null trackedPages), which adds value beyond the empty schema.

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?

States a specific verb and resource: reading project pause state plus usage figures (active prompts, credits, AI Traffic events, tracked pages). No sibling tool covers project-level pause/usage, so an agent can distinguish it at a glance.

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 makes clear what the tool returns but offers no explicit when-to-use condition or named alternative; usage is implied by the resource. 'Available to every credential' gives a permission note but no routing guidance.

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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