budget_get
Get remaining quotas, soft thresholds, and checkout URL for topping up
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Get remaining quotas, soft thresholds, and checkout URL for topping up
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the behavioral burden. It accurately frames the tool as a read operation ('Get') and discloses the output categories (quotas, soft thresholds, checkout URL), implying no mutation. It does not mention auth or return formatting, but for a parameterless getter this is a minor gap.
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. Every phrase ('remaining quotas', 'soft thresholds', 'checkout URL for topping up') carries distinct information, and the sentence length is appropriate for the tool's simplicity.
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, no-output-schema tool, the description adequately explains the return categories and the top-up context. Nothing an agent needs to know to invoke the tool and interpret the result is missing; the only absent details are optional response-format specifics.
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 input schema has zero properties and schema description coverage is 100%, so there are no parameter semantics for the description to add. This matches the baseline of 4 for a no-parameter tool; the description's mention of what is retrieved helps contextualize the result rather than parameters.
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 uses a specific verb and resource: 'Get remaining quotas, soft thresholds, and checkout URL for topping up.' It clearly identifies what budget_get returns and, by naming budget-related outputs, is distinguishable from siblings like budget_estimate, billing_machine_pay, and usage_get without needing to open schemas.
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?
The phrase 'for topping up' gives a clear context for when to use this tool: when an agent needs quota/threshold status or a payment checkout URL. It does not name alternatives or explicitly state when not to use it, but the zero-parameter read-only purpose is clear enough.
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.
Most tools are named as resource+action and target distinct surfaces (inbox, kvp, files, billing), so an agent can generally select the right tool. A few pairs like budget_get vs usage_get and inbox_message_get vs inbox_message_raw have adjacent purposes, but their descriptions mostly clear up the boundary.
The predominant convention is snake_case noun_verb, e.g. kvp_get, inbox_create, files_list. Minor deviations like inspect_storage (verb-noun) and bare noun names such as billing_portal and files_types slightly break the pattern.
With 35 tools, the server is well above the 25+ threshold and bundles many subdomains—billing, KVP, inbox, RAG, files, keys, support—into one surface. It would be more coherent as separate servers or with a significantly trimmed inbox tool set.
Core workflows are mostly covered: inbox lifecycle, webhooks, KVP CRUD, billing, and usage are solid. However file upload has no corresponding delete/remove tool, and keys have create but no list/revoke, leaving noticeable lifecycle gaps.