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normalize_stay_dates

Parse stay dates without using session state.

user_profile here is optional and only accepts standard profile fields.
city is not required here.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nightsNo
checkin_strYes
checkout_strNo
user_profileNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It reveals that it doesn't use session state and that user_profile is limited to standard fields, but it does not disclose error behavior, output format, or what 'normalize' entails beyond parsing. This leaves significant behavioral unknowns.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded with the main purpose, but the third sentence ('city is not required here') is confusing because city is not in the schema, and it may mislead the agent. It is concise but not cleanly structured.

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?

Even though an output schema exists, the description is incomplete for a 4-parameter tool with no annotation support. It lacks crucial input requirements and behavioral details, making it difficult for an agent to know how to correctly invoke the tool beyond the obvious parameter names.

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

Parameters2/5

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

The schema has 0% description coverage, so the description must compensate. It adds that user_profile is optional and accepts only standard profile fields, and that city is not required, but it does not explain the format or relationship of checkin_str, nights, or checkout_str. The main parameters remain underdescribed.

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 states a specific verb ('Parse') and resource ('stay dates'), and distinguishes itself from session-dependent siblings with 'without using session state.' This clearly differentiates it from tools like update_stay_dates that operate within a session context.

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 phrase 'without using session state' gives a clear usage context (use this when session state is not needed), but it does not explicitly name alternatives or state when not to use this tool. The additional notes about user_profile and city provide some constraints but not full exclusion criteria.

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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TDQS

B3.4/5.0
Disambiguation4/5

Most tools have clear distinct purposes, though 'update_user_profile' and 'update_user_profile_from_model' serve similar functions with different input methods, which could cause confusion. Overall, the boundaries are generally clear.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern using snake_case, such as 'search_hotels', 'update_stay_dates', and 'get_hotel_details'. No naming style mixing or irregularities.

Tool Count5/5

With 20 tools covering hotels, homestays, flights, activities, restaurants, profile management, and session handling, the count is well-scoped for a travel assistant server. Each tool serves a distinct function without bloat.

Completeness4/5

The tool set covers core travel planning needs: search, details, offers, and profile management. However, it lacks a tool to actually confirm or book an offer, which is a noticeable gap for a complete booking flow.

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