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Glama

usage_status

Check your tier and remaining conversions before burning a call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does convey that this is a read-only status check and implies the check itself does not consume a conversion, but it does not explicitly state side effects, whether the call is free, or how it behaves when no conversions remain. Adequate but not fully transparent.

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, very concise, with the core action ('check tier and remaining conversions') front-loaded and the usage context appended. Every word 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?

For a zero-parameter, no-output-schema tool, the description covers what the tool reports (tier and remaining conversions) and when to call it. It does not specify output structure or numeric formats, but that is likely unnecessary for invoking the tool successfully.

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?

The tool has zero parameters and the schema is empty, so there are no parameter details to add. The description correctly focuses on behavior rather than redundant parameter information.

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

Purpose5/5

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

The description states a specific verb ('check') and resource ('your tier and remaining conversions'), and the phrase 'before burning a call' clarifies its role as a preflight status check. It is clearly distinct from the sibling conversion tools, which perform different operations.

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

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly indicates when to use the tool: before consuming a call/conversion. It does not name alternatives or exclusion conditions, but the sibling tools are unrelated enough that no further routing is needed.

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

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TDQS

A4.4/5.0
Disambiguation5/5

Each tool has a distinct role: the two conversion paths (base64 vs URL) are clearly differentiated by input source and usage guidance, and the two informational tools (format support, usage quota) do not overlap.

Naming Consistency4/5

convert_base64, convert_url, and list_supported_formats follow a consistent verb_noun pattern. usage_status is a minor resource-style exception but remains readable and does not create real confusion.

Tool Count5/5

Four tools are well-scoped for this service: two conversion entry points plus two supporting tools for format discovery and usage awareness. No redundant or filler tools are present.

Completeness5/5

The surface covers the full workflow for a stateless conversion service: ingest via base64 or URL, discover supported formats and limits, and check quota before conversion. There are no obvious dead ends or missing core operations.