hyreflow_billing_balance
Credit balance and recent spend for this workspace. Free.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Credit balance and recent spend for this workspace. 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?
Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered structurally. The description adds one genuinely useful behavioral fact not in the annotations: the call is free (no credit consumed). It does not disclose the return shape or what window 'recent spend' covers.
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?
Two short fragments, front-loaded with the resource and the payload, no filler. It is arguably too terse to be maximally useful, but nothing is wasted.
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 is the only source for what comes back, and it only gestures at 'balance and recent spend' without defining the window, currency, or response shape. For a trivial parameterless read this is minimally adequate, but it leaves real gaps.
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 there is nothing for the description to disambiguate; baseline is 4. No argument syntax or defaults are needed.
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?
Names a specific resource and data returned ('credit balance and recent spend for this workspace'), which is clearly distinct from the dataset, enrich, and workflow siblings. It stops short of an explicit verb, but 'balance and spend' unambiguously identifies a read of billing state.
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 call this versus other tools, nor any prerequisite or context statement. The reader must infer that it is for checking workspace billing status.
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.