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Glama

get_site_info

Returns basic information about this neighborhood directory: name, locale, domain, description, canonical URLs for key sections, plus the current LOCAL TIME and CURRENT WEATHER at the neighborhood (temperature, condition). Use this for any "what time is it there" or "what's the weather like" context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.5/5.0
Behavior4/5

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

Without annotations, the description fully discloses the tool's output (local time, weather, site info). It is a simple read operation, and no hidden behaviors are expected.

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, well-structured sentence that front-loads the core purpose and adds specific details without 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?

Given no parameters, no output schema, and a straightforward purpose, the description covers all relevant aspects of the tool's behavior and output.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

No parameters exist (0 params, schema coverage 100%). Description correctly does not add parameter info. Baseline for 0 params is 4.

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 explicitly states it returns basic information about a neighborhood directory, listing specific data points like name, locale, domain, description, canonical URLs, and current local time and weather. This clearly distinguishes it from sibling tools.

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 provides explicit usage guidance: 'Use this for any 'what time is it there' or 'what's the weather like' context.' No exclusion criteria are given, but context is clear.

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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Add one secure layer between your agents and this server.

TDQS

A4.1/5.0
Disambiguation5/5

Each tool targets a distinct action on a specific resource (e.g., create_booking vs create_checkout vs reserve_event_tickets). Descriptions clearly differentiate purposes, and no two tools overlap in functionality.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (e.g., get_availability, list_categories, search_dishes). Verbs like get, list, create, request, rsvp are used uniformly, making the set predictable.

Tool Count4/5

28 tools is above the typical 3-15 range, but the server covers a broad domain (places, events, movies, booking, store, etc.). Each tool serves a clear purpose, so the count is justified for the scope.

Completeness4/5

The tool surface is extensive, covering searching, details, reviews, booking, events, menus, etc. Minor gaps exist (e.g., no cancel/update operations), but they are likely intentional given the user-facing nature of the server.

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