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kula-ai

@kula-ai/mcp-server

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by kula-ai

find_institutions

Search academic institutions by name. The returned IDs map to institute_ids for candidate search.

Instructions

Search academic institutions. Returned IDs map to institute_ids on candidate search.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query — matched against institution name
pageNoPage number (default: 1)
limitNoItems per page, max 100 (default: 20)
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as read-only nature, side effects, rate limits, or error states. The name 'find' implies read-only but is not explicit.

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 very concise, with two sentences that convey the essential purpose and a key usage note. No unnecessary words.

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?

The description explains the purpose and result usage but lacks details on pagination behavior, output format, error handling, and why to use this over the sibling 'search_institutions' tool. Output schema is missing, so the description should ideally describe the return structure.

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 description coverage is 100%, so the schema already documents all parameters. The description adds no additional meaning beyond noting the mapping of returned IDs, which does not directly aid parameter understanding.

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 the tool searches academic institutions and explains how returned IDs are used in candidate search, which gives purpose and context. However, it does not differentiate from the sibling tool 'search_institutions'.

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 context by mentioning returned IDs map to candidate search, but no explicit when-to-use or when-not-to-use guidance is provided, nor are alternatives mentioned.

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

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