Skip to main content
Glama

UniAffitti Room Finder

Get room details

get_room_details
Read-only

Return public details for one approved room, including media, features, and limited landlord trust information.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
room_idYes

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds context about the response scope ('public details', 'limited landlord trust information') and the constraint 'approved room,' which goes beyond the bare annotations. It does not contradict any annotation.

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 sentence that front-loads the action and resource, then lists the key content categories. No extraneous words or redundancy.

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

Completeness5/5

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

For a simple one-parameter read-only tool, the description covers purpose, constraints, and return content. Combined with strong annotations and clear sibling context, it is sufficiently complete without needing additional details like error handling.

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?

There is one parameter (room_id) with 0% schema description coverage. The description implies that the ID should correspond to an approved room, but provides no further detail about the parameter itself. This gives marginal compensation but relies heavily on the parameter name and tool name for meaning.

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 uses a specific verb ('Return') and identifies the resource ('public details for one approved room'), clearly distinguishing it from sibling tools like search_rooms or compare_rooms. It also lists the content categories (media, features, trust info), making the purpose unmistakable.

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?

The description implies usage when a specific room's details are needed, with the constraint 'approved room.' However, it does not explicitly state when not to use it or name alternatives. The context is clear but lacks explicit exclusions.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.7/5.0
Disambiguation3/5

Most tools are distinct by resource and action, but the search/catalog cluster is fuzzy: search_universities, search_cities, list_search_metadata, and list_university_campuses overlap in purpose. search_rooms and rank_room_matches also have a similar discovery role, making it easy to select the wrong tool without careful reading.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun pattern, with verbs like add, list, get, search, create, update, and send clearly indicating the action. This makes the tool surface highly predictable and easy to navigate.

Tool Count4/5

20 tools is on the heavier side, but the count is justified by the broad scope: room search, comparison, ranking, favorites, rental requests, messaging, listing creation, and university catalog browsing. The set remains manageable because each tool maps to a distinct workflow step.

Completeness3/5

Core room-finding workflows are covered well: search, details, compare, favorites, requests, and messages. However, listing management is incomplete (create_listing has no update/delete) and messaging only supports sending a first message, with no tool for replying to an existing conversation, leaving notable dead ends.

Resources