Skip to main content
Glama

Ask TutorPing to find a tutor

request_tutor

Submit a request for TutorPing to match a student with a tutor, when search_tutors finds no fit or the user prefers to be matched. TutorPing replies by email within 1 business day with tutor options. Collect what the student needs, then confirm the details AND get the user's explicit agreement that TutorPing may share the request and contact details with matching tutors before calling. Ask only for a first name, never a child's full name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesWhere TutorPing should send tutor options
levelNoe.g. "11th grade", "college", "adult beginner"
notesNoGoals, current scores, anything a tutor should know
phoneNo
onlineNotrue if online sessions are fine
consentYesThe user agreed TutorPing may share this request and contact details with matching tutors
subjectYese.g. "SAT math", "AP Chemistry", "piano"
locationNoCity or area for in-person; omit if online only
scheduleNoe.g. "weekday evenings, test on Dec 6"
tutorRefNotutorRef of a profile from search_tutors the user liked; TutorPing asks that tutor first
budgetPerHourNoUSD per hour
studentFirstNameNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / tutorRef
      Added value: +{
      +  "description": "tutorRef of a profile from search_tutors the user liked; TutorPing asks that tutor first",
      +  "pattern": "^tp-[0-9a-f]{8}$",
      +  "type": "string"
      +}
  2. Added

TDQS

A4.8/5.0
Behavior5/5

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

Annotations only declare openWorldHint/destructiveHint, so the description carries the real behavioral load and does: it discloses the response channel and SLA (email within 1 business day with tutor options), the consent precondition, and a privacy constraint (first name only, never a child's full name). These are non-obvious operational and compliance traits an agent must enforce before calling.

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?

Four sentences, front-loaded with the action and routing rule, then prerequisites, then the privacy guardrail. Dense and mostly waste-free, though the confirm/consent sentence is slightly clause-heavy.

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 12-parameter, 3-required open-world submission tool with no output schema, the description covers what is needed: trigger, prerequisites, consent gate, privacy limit, and what the caller gets back (email with tutor options within 1 business day). Nothing an agent needs to call it correctly is missing.

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?

Schema description coverage is 83%, so most parameters are already documented and the baseline is 3. The description adds genuine semantic weight: it ties 'collect what the student needs' to the input set and constrains studentFirstName to a first name only, while consent is framed as requiring the user's explicit agreement rather than a flag to set silently.

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 specific verb and resource (submit a request for TutorPing to match a student with a tutor) and immediately scopes it against the sibling it replaces. An agent can distinguish this from search_tutors and request_booking without opening any schema.

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

Usage Guidelines5/5

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

Explicit triggering condition: use when search_tutors finds no fit or the user prefers to be matched. It also lists the pre-call sequence (collect needs, confirm details, obtain explicit consent) and the alternative, leaving nothing to inference.

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.

Resources