Skip to main content
Glama
Chanoir999

StudyPilot MCP Server

by Chanoir999

search_materials

Search course materials using a hybrid approach that merges dense and lexical retrieval, delivering accurate results through reciprocal-rank fusion.

Instructions

Search course materials with dense plus lexical reciprocal-rank fusion.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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 only mentions the ranking algorithm and does not disclose whether the operation is read-only, what kind of materials are searched, or any side effects. Minimal behavioral context is given.

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 a single concise sentence that front-loads the core purpose. Every word adds value, and the algorithmic detail is relevant to distinguishing the tool.

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?

An output schema exists, so return value structure is covered elsewhere. However, the description lacks guidance on when to use search versus get_document and does not clarify parameter semantics, leaving notable gaps for such a simple tool.

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% and the description does not explain 'query' or 'limit'. The agent must infer their meanings from the tool name and context, which is insufficient for correct parameter usage.

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 searches course materials, and the mention of 'dense plus lexical reciprocal-rank fusion' distinguishes it from sibling tools like get_document. It is specific about both the action and the resource.

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?

Usage is implied by the search verb, but there is no explicit guidance on when to use this tool versus alternatives like get_document. No exclusions or alternative references are provided.

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

Install Server

Other Tools

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/Chanoir999/StudyPilot'

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