Skip to main content
Glama
kula-ai

@kula-ai/mcp-server

Official
by kula-ai

search_companies

Search companies by name to autocomplete company names in forms and applications.

Instructions

Search companies by name. Useful for autocompleting company names.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query for company name
Behavior2/5

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

With no annotations provided, the description must disclose behavioral traits. It only states the basic function without mentioning limitations, pagination, case sensitivity, or performance characteristics, leaving agents uninformed about important behaviors.

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 extremely concise at two sentences, with the primary action stated immediately. Every word is purposeful, and there is no extraneous information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite the simplicity of the tool, the description fails to specify the output format or any return fields, which is critical since no output schema is provided. It also lacks context on error handling or result ordering, making it less complete than needed for an agent to use correctly.

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 describes 'query' as 'Search query for company name', and the description adds no new information beyond that. With 100% schema coverage, the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Search companies by name' with a specific verb and resource. The additional note about 'autocompleting company names' provides a concrete use case, setting it apart from sibling tools like find_companies which may have broader functionality.

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 usage for autocomplete scenarios ('Useful for autocompleting company names') but does not explicitly state when to prefer this over the sibling find_companies or when not to use it. No alternatives or exclusions 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/kula-ai/kula-mcp-server'

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