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resolve_geo

Read-onlyIdempotent

Travel gazetteer lookup: free-text place name -> candidate geo_ids for the other travel-vertical tools (43k-entity gazetteer: admin divisions, cities, airports/IATA, stations). Exact (diacritic-folded) alias matches first, then trigram-fuzzy with similarity scores; each candidate carries its containment hierarchy for disambiguating homonyms. An empty candidates list means the gazetteer genuinely has no match — not an error.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
limitNo

TDQS

A4.5/5.0
Behavior5/5

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

The annotations already mark this as read-only, idempotent, and non-destructive. The description adds detailed behavioral traits: the matching order (exact diacritic-folded alias matches first, then trigram-fuzzy), the presence of similarity scores and containment hierarchy, and the semantic meaning of an empty response. This goes beyond annotations, providing valuable context.

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 three sentences, front-loaded with an immediate summary ('Travel gazetteer lookup'), and each sentence adds distinct information: scope, matching logic, and response interpretation. No filler words.

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?

The tool has no output schema, so the description must explain the return values. It states candidates carry geo_ids, similarity scores, and containment hierarchy, and explicitly covers the empty-list case. This is sufficient for the agent to understand both input and output behavior.

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 input schema has 0% description coverage for two parameters. The description explicitly characterizes 'text' as 'free-text place name', which adds meaning. However, it never mentions the 'limit' parameter or explains how it controls the number of candidates. This leaves a gap in parameter understanding.

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 begins with 'Travel gazetteer lookup' and clearly states that it maps free-text place names to candidate geo_ids. It specifies the scope (43k-entity gazetteer with admin divisions, cities, airports/IATA, stations) and differentiates from sibling tools as a resolver for the other travel-vertical 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 states this is for 'the other travel-vertical tools', indicating when it should be used. It also clarifies that an empty candidates list means no match, not an error, which is a usage interpretation. However, it doesn't explicitly name alternative tools or explicitly say when not to use it, so it gets a 4.

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
Disambiguation3/5

There is notable overlap among search, search_web, search_restaurants, and search_salons, as well as between filter_restaurants/filter_salons and search with constraints. However, descriptions clarify the intended vertical or corpus, and entity getters are distinct. The overlap is manageable but could cause misselection.

Naming Consistency4/5

Names mostly follow a get_/list_/search_/register_/delete_/submit_/vote_ pattern in snake_case. Minor deviations like 'recall', 'remember', 'research', and 'travel_health' are less predictable but still readable. Overall consistent and clear.

Tool Count2/5

38 tools is on the heavy side for a single MCP server, exceeding the typical well-scoped range. While the server covers multiple subdomains (search, travel disruptions, memory, feedback, research), the sheer number may overwhelm agents and suggests potential consolidation.

Completeness4/5

The tool surface covers core workflows: search and entity retrieval for restaurants/salons, disruption monitoring with standing queries and webhooks (register/list/delete), research submission/polling, and memory/feedback mechanisms. Minor gaps exist (e.g., no cancel for research jobs, no explicit entity list endpoint), but these are workable and do not break typical agent tasks.

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