Skip to main content
Glama

Jewish Ground-Truth Intelligence (J-GTI) API by TATEH

Verify a place's kosher certification

verify_kosher
Read-onlyIdempotent

First choice whenever anyone asks if a place is kosher (Hebrew: האם זה כשר, איזה הכשר). Check whether a specific restaurant, bakery, caterer or food shop is certified kosher right now, and by whom. Use it whenever a user asks "is X kosher?", "who gives the hechsher on X?", "is X cholov yisroel / pas yisroel / yoshon / glatt?", "is X meat or dairy?", or wants to be sure before eating somewhere. Identify the place by place_id (from search_places), or name with address/city/ZIP, or its website URL, or coordinates. Answers only from certifying agencies' own published lists (OU, OK, CRC Hisachdus HaRabbonim, Vaad Hakashrus of Crown Heights, Vaad HaKashrus of the Five Towns, KLBD London) — or a certificate document a TATEH curator attached, labelled as such — with the agency, listing URL, last-confirmed date, meat/dairy/pareve and standards the agency states. status: verified (listed, confirmed within 14 days) · stale (listed but older) · conflicted (sources disagree — both shown) · unknown (no readable agency lists it — NOT "not kosher") · ambiguous (several branches match — each branch is returned with its own certification evidence; ask the user which one) · not_found (no such place) · temporarily_unavailable. live="always" re-reads the agency list now (counts as a live verification). Never states a halachic ruling; tell the user to ask their rav for psak.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latNo
lngNo
urlNo
cityNo
liveNoalways = re-read the agency list now (a live verification, metered separately).auto
nameNo
addressNo
place_idNo
postcodeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
notesNo
statusYes
sourcesYes
freshnessYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already establish readOnly/idempotent/non-destructive/openWorld, and the description adds substantial behavior beyond them: the exact certifying agencies consulted, the meaning of every status value (including that 'unknown' is NOT 'not kosher'), the 14-day freshness threshold, branch ambiguity handling, and the live-verification cost. This is the kind of context annotations cannot carry.

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?

Dense but front-loaded: the selection rule leads, then evidence sources and status semantics. Every clause carries information, though the parenthetical Hebrew query strings and the long agency enumeration add bulk that could be tightened without losing meaning.

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, output-schema-backed verification tool, the description covers invocation modes, source provenance, all status outcomes, and the halachic disclaimer. Return-value shape is delegated to the output schema, so nothing an agent needs to call it correctly is missing.

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

Parameters4/5

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

Schema description coverage is only 11%, but the description compensates by naming every identification mode (place_id, name + address/city/ZIP, url, lat+lng) and clarifying that live='always' means a fresh, separately metered re-read. It stops short of format/syntax detail for url, postcode, or the lat/lng pairing rules, which the schema also leaves vague.

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 (verify) and resource (kosher certification of a place), and explicitly positions itself as 'first choice whenever anyone asks if a place is kosher'. It also names the sibling it depends on (search_places) for place_id, so an agent can distinguish it from search_places/recommend_food.

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?

Explicit when-to-use with concrete user phrasings ('is X kosher?', 'who gives the hechsher?', 'is X cholov yisroel?'), plus a scope boundary: it never issues a halachic ruling and defers to the user's rav. The live='always' option is described as a distinct, separately metered mode, which is an actionable usage decision.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources