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Place details

place_details
Read-onlyIdempotent

Get all details for a place in one lookup using a GERS ID or name plus coordinates: addresses, websites, phones, socials, brand, operating status, and trust note.

Instructions

One place, in full: addresses, websites, phones, socials, brand, source attribution, GERS id, confidence, operating status, and a compact trust_note.

Resolve either by GERS id (the `id` field find_places and other tools
return) or by name + lat/lon (nearest name match within radius_m of
that point). Pass id, or pass name together with lat and lon — not
both. Long array fields (addresses, websites, phones, socials, sources)
are capped and never silently dropped: a truncated field carries a
matching "<field>_omitted_count". Returns {"error": "not_found", ...}
if nothing matches, or a structured {"error": ...} if the upstream
dataset is unavailable or missing columns this tool depends on.

When looking up by id, also pass near_lat/near_lon — the lat/lon from
the find_places (or other tool) row the id came from — so the lookup
can be narrowed to a ~50km box instead of scanning the whole dataset.
Ignored when resolving by name. Omitting it still works, just slower on
a cold, uncached id.

lang (#410) requests Overture's language-tagged name variant for this
place, when the data has one: `name` becomes the variant and
`name_primary` is added only when it differs. Default: the stored
`preferences()` lang, else the primary name unchanged. Never invented
or transliterated.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNo
latNo
lonNo
langNoResult-language code (2-3 lowercase letters, e.g. "de"). Overture-tagged name variants only — never transliterated or invented. Default: stored preference, else the primary name.
nameNo
near_latNo
near_lonNo
radius_mNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already declare readOnly, idempotent, and non-destructive, and the description adds substantial behavioral detail beyond that: truncation carries _omitted_count, errors have structured shapes, missing upstream data is surfaced, and lang variants are never invented or transliterated. This is rich, honest behavioral disclosure.

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 long but front-loaded with a compact summary and each paragraph earns its place. The '#410' reference is minor noise, and the amount of detail is justified given the tool's optional-parameter complexity and resolution modes.

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?

With an output schema present, return values don't need elaboration, and the description covers the remaining operational context: both resolution branches, required parameter pairing, truncation semantics, error responses, performance implications, and language handling. Nothing an agent needs to call this correctly is missing.

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

Parameters5/5

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

Schema coverage is only 13%, so the description carries the full burden, and it succeeds. It explains id, name, lat/lon pairing, radius_m scope, near_lat/near_lon purpose and perf impact, and lang behavior far beyond the schema's bare definitions.

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 opens with 'One place, in full' and enumerates the exact payload fields, making the resource and scope unmistakable. It also specifies two distinct resolution modes, which separates it from other place-related sibling tools without needing to open their schemas.

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?

It gives explicit usage rules: pass id, or pass name together with lat/lon, 'not both'; near_lat/near_lon are for id lookups and ignored for name lookups. It does not explicitly compare against sibling tools like resolve_place, but the resolution instructions are concrete and actionable enough to prevent incorrect calls.

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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