Skip to main content
Glama

Get tutor profile

get_tutor
Read-only

Get the full public profile for one tutor: headline, description, subjects, academic levels, rate, rating, credentials, languages, and how to book. Identify the tutor by the id from a search_tutors result, or by the last part of their profile URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tutorUserIdYesThe tutor's user id from a search_tutors result, or their profile handle — the last part of the profile URL, e.g. "ada-47256" from /tutor-profile/ada-47256. Either form works.

TDQS

A4.3/5.0
Behavior4/5

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

Annotations declare readOnlyHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is already established. The description adds meaningful behavioral context by stating that it returns the full public profile and lists exactly what fields are included, plus the flexible identification forms.

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?

Two sentences, compact and front-loaded: first states the purpose and payload, second resolves the only open question (how to identify the tutor). Every clause earns its place.

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

Completeness5/5

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

For a single-parameter, read-only tool with no output schema, the description fully covers inputs, output contents, and identifier format. An agent can call it correctly without external context.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already explains the tutorUserId parameter. The description reinforces the dual identification forms (id from search_tutors or profile handle) but does not add substantial meaning beyond the schema — baseline 3 is appropriate.

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 uses a specific verb plus a clearly bounded resource: 'Get the full public profile for one tutor', and it enumerates the profile fields. This distinguishes it from siblings like search_tutors (listing), get_tutor_reviews (reviews), and prepare_booking (booking action).

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 tells the agent when to call it and how to supply the identifier: use the id from a search_tutors result or the last part of the profile URL. It does not explicitly state when not to use alternative tools, but the context is clear enough for correct selection.

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

A4.2/5.0
Disambiguation5/5

Each tool addresses a distinct task: info, search, profile detail, reviews, subjects, self-serve booking prep, and human-assisted requests. Even the two booking-related tools are clearly separated by their descriptions and outcomes.

Naming Consistency5/5

All tools follow a consistent lowercase snake_case verb_noun pattern such as get_tutor, list_subjects, search_tutors, prepare_booking, and request_human_tutor. The naming makes the function of each tool predictable.

Tool Count5/5

Seven tools is a well-scoped set for a tutoring platform integration. Each tool addresses a meaningful part of the user journey without redundancy or bloat.

Completeness4/5

The surface covers platform info, discovery, evaluation, subject lookup, and both self-serve and human-assisted booking paths. A minor gap is the absence of direct booking management or tutor availability checks, but these are not required for the primary workflow.

Resources