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Glama

l2kc_refresh_quota

Refresh quota snapshots for an account or provider to check current quota status before recommending or submitting jobs; mock data are test fixtures, not live account data.

Instructions

Refresh quota snapshots. Mock data are TEST FIXTURES, not a live account.

Equivalent to gpu_get_quota(..., refresh=True).

Input Schema

NameRequiredDescriptionDefault
accountNo
providerNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description must carry behavioral disclosure, and it does flag that mock data are test fixtures rather than a live account — genuinely useful context. However it never says what 'refresh' actually does (network call? cache invalidation? side effects?), whether it is rate limited, or whether the snapshot is persisted, leaving the mutation semantics opaque.

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

Conciseness4/5

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

Two short sentences, front-loaded with the action followed by the important caveat. No filler or repetition; sizing is appropriate, though the second sentence's format is slightly reference-doc flavored.

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

Completeness3/5

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

An output schema exists, so return values need not be described. Still, for a two-parameter, no-annotation tool the description omits parameter meaning and refresh behavior, leaving real gaps an agent would face when deciding how to call it and interpret the result.

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

Parameters2/5

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

Schema description coverage is 0% and both parameters ('account' and 'provider', both nullable with defaults) are entirely undocumented in the schema. The description adds no information about what these parameters mean, their format, or what omitting them does, so it fails to compensate for the coverage gap.

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?

States a specific verb and resource ('Refresh quota snapshots') and distinguishes itself from the sibling gpu_get_quota by noting it is equivalent to that call with refresh=True. It is clear what the tool does, though 'snapshots' and 'quota' scope (account/provider) are not elaborated.

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?

The equivalence note to gpu_get_quota(..., refresh=True) implies when this tool is relevant, but it does not explicitly say when to call it versus plain gpu_get_quota, nor any prerequisites (auth required, per-account scoping). Usage is inferable rather than stated.

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