Get my account
get_meGet the connected Podwise account: email, plan and remaining AI processing credits.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_meGet the connected Podwise account: email, plan and remaining AI processing credits.
| 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, non-destructive, and closed-world, so the safety profile is covered. The description adds genuine behavioral value by naming the returned fields (email, plan, credits) and signaling that it operates on the authenticated 'connected' account, which is meaningful given the absence of an output schema.
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 front-loaded sentence with no filler; the resource is named first and the return contents are enumerated immediately after. Nothing is redundant or out of order.
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?
For a zero-parameter, read-only lookup with no output schema, the description carries the full burden of describing the return, and it does so by listing the exact fields. Nothing an agent needs to select or call this tool is missing.
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, which sets the baseline at 4. There is nothing parameter-related the description could add, and it correctly does not invent any inputs.
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?
States a specific verb (Get) and resource (the connected Podwise account), then enumerates exactly what is returned: email, plan, and remaining AI processing credits. No sibling tool retrieves the current user's account, and the description makes that unique scope unambiguous.
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?
Usage is implied rather than stated: an agent can infer this is the tool for 'who am I / what plan am I on' questions, and no sibling overlaps. But there is no explicit when-to-use guidance, no mention of when it should not be called, and no alternatives named.
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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