Get my plan and usage
get_plan_usageThe person's plan, how many posts, auto-replies and AI images are used and left in this period, extra packs, and when the allowance resets.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_plan_usageThe person's plan, how many posts, auto-replies and AI images are used and left in this period, extra packs, and when the allowance resets.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuine context beyond that: the scope is implicit to 'the person' (no account parameter needed), the output is quota-oriented (used vs. left), and it discloses that extra packs and a reset timestamp are included.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single fragment sentence with the core resource front-loaded and no wasted clauses; the enumerated fields are informative rather than padding. It would be marginally stronger with a leading verb, but it is efficient as written.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no parameters and no output schema, the description has to carry the return-value burden and largely does, covering used/remaining counts per content type, extra packs, and reset timing. Minor gaps remain (whether plan tier, limits, or per-account breakdowns are returned), but an agent can call it correctly from this text.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters and the schema is an empty object, so there is nothing for the description to disambiguate. Baseline 4 applies; the description correctly implies no arguments are needed to scope the call.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a distinct resource (the person's plan and per-period usage of posts, auto-replies, AI images, extra packs, reset timing) and thereby separates it from content-centric siblings like get_analytics_summary or list_posts. It lacks an explicit verb (the action is carried by the name/title) and never names a sibling it is not, so it falls short of a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no explicit when-to-use, when-not-to-use, or alternative routing. A reader can infer it is for checking remaining quota within a billing period, but nothing tells the agent to prefer it over get_analytics_summary when the intent is performance rather than allowance.
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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