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Glama

GospelChannel Church Finder

Find churches near a place

find_churches_near
Read-only

Find Christian worship churches near the user, ranked by distance. Uses only the coarse location metadata ChatGPT shares, never raw location input fields. If the metadata includes only a city, it searches that city. Filter by worship style, denomination, or language.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of churches to return (default 5, max 20).
languageNoPreferred service language, e.g. English, Spanish.
radius_kmNoSearch radius in kilometers (default 40, max 500).
denominationNoPreferred denomination, e.g. non-denominational, Baptist, Pentecostal, Assemblies of God.
worship_styleNoPreferred worship style, e.g. contemporary, gospel, charismatic, traditional, hillsong.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNo
countYes
churchesYes

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already state readOnlyHint=true and destructiveHint=false, so the read-only nature is covered. The description adds valuable behavioral detail: it relies solely on coarse location metadata and never on raw user-provided location fields, and results are distance-ranked. This goes beyond annotations by explaining the source and sorting logic.

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?

Three clear, dense sentences with no filler. The primary purpose comes first, followed by the key location-source caveat, then filter options. Every sentence earns its place and no redundant wording appears.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only tool with five optional params and an output schema (not shown but present), the description covers the essential special aspect (how location is obtained). It omits minor details like return format or no-result behavior, but given the output schema exists and the operation is non-destructive, the context is largely sufficient.

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 coverage is 100% — every parameter has a description in the input schema. The description only restates that filters are available ('worship style, denomination, or language'), which adds no new semantics beyond the schema. Baseline 3 is appropriate because the schema carries the param meaning.

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 a specific verb and object: 'Find Christian worship churches near the user, ranked by distance.' It further clarifies the unique input mechanism versus siblings by stating it 'Uses only the coarse location metadata ChatGPT shares,' which differentiates it from find_churches_in_city (likely city-based) and get_church (likely specific lookup). No ambiguity remains.

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 gives clear applicable context: use when location comes from ChatGPT's coarse metadata, not raw input fields. It explains behavior when the metadata is city-only. Although it does not name alternative sibling tools or exclusions, the context is explicit enough for an agent to decide when to invoke this tool.

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

A4.4/5.0
Disambiguation5/5

Each tool has a clear, distinct purpose: searching by city, searching by proximity, and retrieving a full church profile. The first two could be confused at a glance, but their descriptions explicitly differentiate the input and ranking method.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern: find_churches_in_city, find_churches_near, get_church. The use of 'find' for searches and 'get' for retrieval is logical and predictable.

Tool Count5/5

Three tools is the right size for this server's scope: two search methods and one detail lookup. No redundant tools, and each serves a distinct user need.

Completeness5/5

The domain is a church finder, and the tool surface covers the essential workflow: discover churches via city or proximity, then view detailed profiles. No obvious gaps for read-only directory functionality.