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find_poi

Read-onlyIdempotent

Locate a named business or landmark and return its address, category and coordinate. Use when a person names a specific thing, not a town; the coordinate passes to other tools.

Instructions

Finds a named business or landmark — company, shop, clinic, hotel — and returns its address, category and coordinate. Use when the person names a THING rather than a town: "the adesso office in Dortmund", "the nearest Aldi". The coordinate it returns passes to any other tool as lat/lon. Do NOT use for a town, district or station (every tool's place resolves those), nor for fuel, charging or parking, which have their own tools. Give "in" (a town) when you can: far faster than searching nationwide. At most 10 results, radius <= 50 km. OpenStreetMap under ODbL 1.0; show the attribution line.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inNoA town to search in — "Dortmund", "Fulda". Strongly preferred: it is both far faster and far less ambiguous than a nationwide search. Use this OR near/lat+lon, not both.
latNoLatitude of the point to search around, when the caller already holds a coordinate.
lonNoLongitude of the point to search around.
nameYesThe name of the thing to find — a company, shop, clinic, hotel, office or landmark. Part of the name is enough: "adesso" finds "adesso SE". A chain name works too, because brands are matched as well as names.
nearNoA place to search around, when the question is "the nearest X" rather than "X in Y". Use with radius_km.
limitNoHow many to return, best match first (1–10, default 5).
categoryNoNarrow to one OpenStreetMap family: "office" (companies, agencies), "shop", "amenity" (fuel, pharmacy, school, restaurant), "healthcare", "tourism" (hotels, attractions), "leisure", "industrial" or "building". Omit unless the person was specific.
languageNoSet this on every call to the language the person is writing in: "en" if they wrote English, "de" if they wrote German. Do not leave it out because it has a default — the default is only the fallback when the language is genuinely unclear, and an English question answered in German is a wrong answer. Place names, station names and road numbers are never translated in either language; in English the German term is kept in parentheses so the person recognises it on signs and in local apps.de
radius_kmNoSearch radius in kilometres around near/lat+lon (1–50, default 10). Ignored when "in" is used.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changedv1.7.3
    • addedInput schema / properties / in / maxLength
      Added value: +120
    • addedInput schema / properties / name / maxLength
      Added value: +120
    • addedInput schema / properties / near / maxLength
      Added value: +120
  2. Addedv1.4.8

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the bar is lower; the description still adds real behavior beyond them: a hard result cap (max 10), radius ceiling (<= 50 km), the ODbL attribution obligation, and the workflow hint that the returned coordinate chains into any other tool as lat/lon.

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?

Front-loaded with purpose, then usage, then constraints and licensing. Dense and mostly waste-free, but the result/radius caps restate schema constraints that are already explicit, costing a little 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?

For a 9-parameter geocoding tool with no output schema, the description covers purpose, alternatives, return contents, limits, and licensing, leaving nothing an agent needs in order to call it correctly.

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 parameters are already fully documented, including the nuanced language-parameter guidance. The description largely repeats schema facts ("At most 10 results, radius <= 50 km") and only mildly reinforces the 'in' preference, so the baseline 3 applies.

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?

States a specific verb (finds), resource (named business or landmark), examples (company, shop, clinic, hotel) and return shape (address, category, coordinate). It explicitly differentiates from find_place and the fuel/charging/parking siblings, so an agent can route without opening any schema.

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

Usage Guidelines5/5

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

Gives explicit when-to-use ("the person names a THING rather than a town"), when-not-to-use ("Do NOT use for a town, district or station... nor for fuel, charging or parking"), and names the alternatives. The performance hint ("Give 'in' when you can: far faster than searching nationwide") further guides correct invocation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.