Skip to main content
Glama
Sign In
TutorFlow MCP

TutorFlow MCP

by Nishitadoval
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

list_students

Lists all students in the tutoring system, showing their grade and subject focus. Optionally filter results by searching for a name or subject.

Instructions

List all students being tutored, with their grade and subject focus. Optionally filter by a search term matched against name or subject.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_students"
  }
}

Input Schema

NameRequiredDescriptionDefault
searchNoOptional text to match against student name or subject_focus

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden of disclosing behavior. It clearly implies a read-only operation (listing) and describes the filter behavior. It does not mention any side effects or return format, but for a simple list tool this is largely implicit. No contradictions exist.

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 with zero redundancy. The core purpose is stated first, followed by the filter option. Every word earns its place, making it easy for an agent to parse quickly.

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?

Given the simplicity of the tool (one optional parameter, no output schema, no nested objects), the description is complete enough for an agent to invoke it correctly. It might benefit from noting the return format (e.g., an array of students), but that is easily inferred from the purpose. Minor gaps like ordering or pagination are not critical for this straightforward tool.

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?

The schema already provides 100% coverage for the single optional parameter, describing it as matching against student name or subject_focus. The description adds no new semantic detail beyond restating that the search matches name or subject. Since schema coverage is complete, the baseline of 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 clearly states the action (List), the resource (students), and the included details (grade and subject focus). It also mentions the optional filter. This differentiates it from sibling tools like get_student_progress or assign_homework, which are clearly not listing 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 explains when to use the optional filter (search term) but does not explicitly state when to choose this tool over alternatives. However, the sibling names are distinct enough that an agent can infer list_students is for enumerating students, making the usage context clear even without explicit exclusions.

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

Deploy Server

Other Tools