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Glama

get_plan_usage

Allowance usage against the plan's caps this period.

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

A4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the behavioral burden. It conveys a read-only usage retrieval and a time scope, but it does not clarify how the period is defined, whether data is real-time, or what happens when no plan or allowance exists.

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, tight sentence that leads with the resource and key constraints. Every word earns its place with no redundancy or filler.

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 no-input getter with no output schema, the description is largely self-sufficient. The main gaps are the exact return shape and exact definition of the current period, but these are minor for this simple tool.

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 input schema has zero parameters, and schema description coverage is trivially 100%. There are no parameter semantics for the description to clarify, so the baseline of 4 applies.

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?

States a concrete get operation for 'allowance usage', scoped to 'the plan's caps' and 'this period'. This clearly distinguishes it from siblings like get_current_plan or get_analytics.

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 description implies when to use the tool: when checking allowance consumption against plan caps. However, it does not explicitly mention alternatives or provide when-not-to-use guidance, leaving some inference to the agent.

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

A3.6/5.0
Disambiguation5/5

Each tool targets a distinct action in the content workflow: planning, composing, approving, scheduling, canceling, publishing, querying, and analytics. Even similar actions like schedule_post and publish_now are clearly separated by timing and irreversibility.

Naming Consistency5/5

Tool names consistently use snake_case verbs followed by nouns (list_channels, compose_post, cancel_scheduled_post). The pattern is predictable and makes resource-action relationships easy to infer.

Tool Count5/5

14 tools is well-scoped for a content planning and social publishing server. Each tool covers a meaningful step in the workflow without redundant or excessive additions.

Completeness4/5

The set covers the core content lifecycle: plan, compose, approve, schedule, publish, cancel, and analyze. Minor gaps exist around editing existing drafts or directly modifying plan items, but these can be worked around with the provided tools.

Resources