my_account
The account's meter: plan, allowance used and remaining, period reset or trial expiry, keys, what counts as a call, how to upgrade, and the business profile. Free.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
The account's meter: plan, allowance used and remaining, period reset or trial expiry, keys, what counts as a call, how to upgrade, and the business profile. Free.
| 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?
With no annotations, the description carries the full burden, and it does disclose one genuinely behavioral fact: the call is 'Free,' i.e. it does not consume allowance — directly relevant since the payload itself explains what counts as a call. It says nothing about auth requirements, rate limits, or whether the response is user- or workspace-scoped, which keeps this at a middling score.
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?
One compact sentence with the resource name front-loaded and no filler. The dense noun-list is unusual but every item earns its place by declaring a returned field.
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 output schema, the description sensibly compensates by listing the returned fields, which is close to complete for a zero-parameter read of the caller's own account. The remaining gap is routing — it never says how this differs from my_usage, leaving sibling ambiguity unresolved.
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, so per the rubric the baseline is 4. The description adds value by enumerating the fields the parameterless response contains rather than leaving the agent to infer them.
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 enumerates exactly what the tool surfaces — plan, allowance used/remaining, reset or trial expiry, keys, call definition, upgrade path, business profile — so an agent can tell it returns account/billing metadata. The verb is implied rather than stated ('The account's meter'), and it never names or distinguishes itself from the sibling my_usage, which likely covers overlapping usage data.
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 when-to-use guidance at all: no trigger conditions, no prerequisites, and no mention of the obviously adjacent sibling my_usage. The agent has to guess whether to call this or my_usage for account/quota questions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.