Skip to main content
Glama

get_student_progress

Retrieve a student's recent session notes and open homework by student ID to review their progress. Use list_students to find the ID if unknown.

Instructions

Get a student's recent session notes and open homework by student id. Use list_students first if you don't know the id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
student_idYesThe student's id, from list_students

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. The verb 'get' implies a read-only operation and the returned data is named, which is honest and non-contradictory. But it does not define what 'recent' or 'open' mean, describe the return shape, or note behavior on an invalid/unknown student_id. Adequate but thin for an operation with zero annotation coverage.

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, zero filler. The purpose sentence is front-loaded with verb, resource, and key; the second sentence adds the prerequisite. Every word earns its place.

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 single-parameter retrieval tool with no output schema, this is nearly complete: it names what is returned, the required input, and the prerequisite. Minor gaps remain — no return-structure description (which a simple tool can tolerate) and no definition of 'recent'/'open' timeframes — but nothing critical blocks correct invocation.

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 coverage is 100% — the schema already documents student_id as 'The student's id, from list_students', including its source. The description's 'by student id' and 'Use list_students first' only reinforce what the schema already states, adding no new semantic meaning. Baseline 3 is correct when the schema does the heavy lifting.

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 ('Get') plus a concrete resource ('a student's recent session notes and open homework') keyed by student id. The scope is unambiguous and easily distinguished from siblings: it retrieves existing data, unlike log_session_note and assign_homework (writes) and generate_progress_report (report generation).

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?

Explicitly routes the agent to the prerequisite: 'Use list_students first if you don't know the id.' This gives clear context for calling the tool correctly. It does not, however, mention when to prefer generate_progress_report or log_session_note instead, so some alternative routing is left to inference.

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

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Nishitadoval/tutorflow-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server