Skip to main content
Glama
kula-ai

@kula-ai/mcp-server

Official
by kula-ai

search_institutions

Search academic institutions by name to autocomplete university or school names.

Instructions

Search academic institutions by name. Useful for autocompleting university or school names.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query for institution name
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only states the search action without disclosing behavior such as read-only nature, authorization needs, rate limits, or result format. This is insufficient for a search tool.

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, front-loaded with action and resource, and no wasted words. Efficient and to the point.

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?

Given the simplicity (one parameter, no output schema, no annotations), the description is adequate but lacks details on return format, pagination, or any edge cases. It meets minimum viability but has gaps.

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 covers the only parameter with description 'Search query for institution name'. The tool description adds context about autocomplete use, but this does not significantly enhance understanding beyond the schema. With 100% schema coverage, 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 clearly states the tool searches academic institutions by name, specifying the action 'search' and the resource 'academic institutions'. It also mentions a specific use case (autocomplete), distinguishing it from sibling search tools targeting candidates, companies, etc.

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?

The description implies use for autocomplete but does not explicitly state when to use it over alternatives like find_institutions, nor provides any exclusions. The context is clear but guidance is minimal.

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/kula-ai/kula-mcp-server'

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