verify_account_token
Verify a Cloudflare API token by checking it against an account ID to confirm it is valid and authorized.
Instructions
Verify an API token is valid
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| account_id | Yes | The account ID |
Verify a Cloudflare API token by checking it against an account ID to confirm it is valid and authorized.
Verify an API token is valid
| Name | Required | Description | Default |
|---|---|---|---|
| account_id | Yes | The account ID |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
v1.0.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavior disclosure. It only restates the validating purpose without detailing what `valid` means, what response the caller should expect, whether it is a read-only operation, or how the token is supplied. There is no contradiction, but also no meaningful behavioral context beyond the name and a brief verb phrase.
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?
The description is a single concise sentence with no wasted words and is easy to parse. It loses a point only because brevity comes at the expense of needed context about the token type or account relationship.
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 single-parameter tool with no output schema, the definition is minimally viable: an agent can infer it should call with an `account_id` and expect a validity result. But because the tool name references `account` and the description does not explain the token/account relationship nor the expected return shape, the context is incomplete enough to be only adequate.
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 schema coverage is 100% and `account_id` is already described as 'The account ID'. The description does not add any additional meaning about how `account_id` relates to the token being verified, so it neither meaningfully improves nor harms parameter understanding.
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 states a clear action ('Verify') and a specific resource ('an API token'), making the core purpose understandable. However, it does not differentiate this tool from the sibling `verify_token`, and the account scope present in the name is not explained.
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 guidance on when to use this tool instead of alternatives such as `verify_token`, `get_account_token`, or `list_account_tokens`. The description only states what it does, not the conditions under which it applies.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/pocc/cloudflare-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server