Skip to main content
Glama

Voice School Lesson Booking

search_lesson_availability

Find free requestable lesson times using coach working windows and busy intervals. The response never includes private learner data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
date_toNo
date_fromNo
coach_slugNodaria-klishina
service_slugNosingle-vocal-lesson
user_timezoneNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A3.8/5.0
Behavior4/5

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 discloses how the tool works ('using coach working windows and busy intervals') and adds a privacy guarantee ('The response never includes private learner data'). This goes beyond the basic 'search' concept and provides useful behavioral context, though it does not mention rate limits, pagination, or read-only status explicitly. For a read-only search tool, this is reasonably 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?

The description is two sentences, both front-loaded with essential information. The first sentence delivers the primary purpose, and the second provides a key privacy note. No redundant filler or fluff; every word earns its place.

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?

The tool has six optional parameters and an output schema, so the description needs to explain how parameters relate to the search behavior. It does not explain the purpose of date_from/date_to, limit, or user_timezone. While the output schema covers return values, the lack of parameter guidance and absence of annotations leaves gaps for an agent trying to customize a search. The high-level purpose is clear, but the description is not fully complete for effective invocation in varied scenarios.

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% — no parameter descriptions exist. The description does not mention any of the six parameters (limit, date_to, date_from, coach_slug, service_slug, user_timezone). It only vaguely refers to 'coach working windows and busy intervals,' which hints at coach/service relevance but provides no concrete meaning for the parameters. The tool name and schema titles carry some meaning, but the description adds negligible value for parameter understanding.

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 clearly states the tool's function: 'Find free requestable lesson times using coach working windows and busy intervals.' It uses a specific verb ('Find') and resource ('free requestable lesson times'), and the method distinguishes it from sibling tools like create_lesson_request (which creates) and list_lesson_options (which lists options). It is unambiguous and immediately understood.

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 the tool's usage context (searching for available slots) but does not explicitly state when to use it over alternatives. It does not reference sibling tools or provide exclusion criteria, such as 'Use this to check real-time availability, as opposed to list_lesson_options which gives fixed offerings.' Thus, the usage guidance is only implicit, not explicit.

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.

TDQS

A3.5/5.0
Disambiguation5/5

Tools fall into two clear clusters: lesson booking and social post management. Within each cluster, every tool targets a distinct resource/action combination, so there is little risk of selecting the wrong tool.

Naming Consistency4/5

Most tool names follow a clear verb_noun pattern: create_, list_, publish_, search_, upsert_. The main deviation is voice_school_info, which is a noun phrase rather than an action-oriented name.

Tool Count4/5

Nine tools is a reasonable count and each tool has a defined purpose. However, the server name emphasizes lesson booking while five of the nine tools are social content management, which makes the scope feel slightly broader than the name suggests.

Completeness4/5

The lesson booking side covers requests, options, availability, and general info, while the social side covers drafting, publishing, listing, channels, and links. Minor gaps exist, such as no lesson request status/update flow and no delete/unpublish for social posts, but agents can work around these.

Resources