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BACH-AI-Tools

Local Business Data MCP Server

reverse_geocoding

Convert latitude and longitude coordinates into detailed place or address information using reverse geocoding. Retrieve business data, location details, and address components from geographic coordinates.

Instructions

Get the details of a place or address in a specific geographic location by latitude and longitude (reverse geocoding). This endpoint implements the \

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latYesExample value: 40.695845340.6958453
lngYesExample value: -73.9799119-73.9799119
regionNoQuery Google Maps from a particular region or country. For a list of supported region/country codes see https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes (Alpha-2 code). Default: us
languageNoSet the language of the results. For a list of supported language codes see https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes . Default: en
fieldsNoA comma separated list of business fields to include in the response (field projection). By default all fields are returned. Example: business_id,type,phone_number,full_address
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions that this is an 'endpoint' but doesn't describe key behavioral traits such as rate limits, authentication requirements, error handling, or response format. The description is minimal and lacks operational context beyond the basic purpose.

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

Conciseness4/5

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

The description is a single, efficient sentence that clearly states the purpose upfront. However, it ends abruptly with 'This endpoint implements the \"', which appears incomplete or truncated, slightly reducing its effectiveness. Otherwise, it's appropriately sized with no wasted words.

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?

Given no annotations and no output schema, the description is incomplete for a tool with 5 parameters and no behavioral context. It lacks information on response format, error conditions, and operational constraints. While the purpose is clear, the description doesn't compensate for the missing structured data, leaving significant gaps for an AI agent.

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 fully documents all 5 parameters with descriptions and defaults. The description adds no parameter-specific information beyond implying latitude and longitude are used for reverse geocoding. This meets the baseline of 3 since the schema does the heavy lifting, but the description doesn't enhance 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's purpose: 'Get the details of a place or address in a specific geographic location by latitude and longitude (reverse geocoding).' It specifies the verb ('Get'), resource ('details of a place or address'), and method ('by latitude and longitude'). However, it doesn't explicitly differentiate from sibling tools like 'search' or 'search_nearby' which might also involve location-based queries.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'search' or 'search_nearby' that might be relevant for location-based queries, nor does it specify use cases or exclusions. The agent must infer usage from the purpose alone.

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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