Skip to main content
Glama

autoshort_get_limits

Read-onlyIdempotent

Everything that can stop a call: credit balance, this key's daily agent spending cap (spent / remaining / reset), auto-recharge status and monthly cap, platform publishing limits, and per-hour caps on free AI calls. Free.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description contributes genuinely new behavioral information beyond the annotations: the call is 'Free' (consumes no credit), and it returns live spent/remaining/reset figures rather than static config. It does not describe the response shape or freshness of the reset timestamp.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence, front-loaded with the framing clause before the colon so the agent gets the concept before the enumeration. The list items each add a distinct capability category rather than padding, and the trailing 'Free.' is a deliberate one-word addition that earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description carries the burden of explaining returns, which it does at the category level (balance, daily cap with spent/remaining/reset, recharge status, publishing limits, hourly caps). An agent knows what it will learn but not the field names or nesting of the response; given the read-only, zero-argument nature of the tool this is a minor gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are zero parameters and no schema to compensate for, so the baseline of 4 applies. The description correctly implies no arguments are needed by not mentioning any.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a scoping frame ('Everything that can stop a call') and then enumerates the exact categories returned: credit balance, daily agent spending cap with spent/remaining/reset, auto-recharge status and monthly cap, publishing limits, and hourly free-AI caps. That makes it distinguishable from narrower siblings such as autoshort_get_credit_balance or autoshort_get_subscription by implication, though it never names those siblings or states that it is the aggregate superset view.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

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 'call this before attempting a paid generation to check whether anything blocks it.' There is no explicit when-to-use, no exclusion of alternatives like get_credit_balance or get_usage_stats, and no guidance on whether this should be checked pre-flight or only after a failure.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.