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Plan and usage

get_usage
Read-only

Current plan, tracked apps, keywords and research calls in the current quota period (free: month, pro: day). A null limit means unlimited.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

readOnlyHint already declares this a safe read, and the description adds genuinely new context beyond the annotation: the quota window differs by plan (free = month, pro = day) and a null limit means unlimited. That is real interpretive help for decoding the result. It does not describe units (calls vs. tokens) or reset timing, which keeps it below a 5.

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 short sentences, the enumeration front-loaded and the null-limit clarification second. Nothing is redundant and nothing is padding.

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 must describe the payload, and it names the four main sections plus the null-limit convention. It could go further on field shape or how usage counts are measured, but for a zero-parameter read tool this is close to sufficient.

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 no parameters, so the baseline is 4. The description correctly documents the plan-dependent quota window, which is the only input-adjacent semantic an agent needs to interpret the response.

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?

It enumerates exactly what is returned — current plan, tracked apps, keywords, and research calls — which makes the resource unambiguous against write-oriented siblings like add_app or refresh_app_keywords. It lacks an explicit verb ("get"/"retrieve"), but the noun enumeration carries the meaning.

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?

Usage is only implied: mentioning the quota period suggests this is the tool to consult before burning research calls or keywords. There is no explicit when-to-use, no prerequisites, and no statement of when another tool is a better choice.

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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