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Glama

locator_digest

GET /locator/digest — Get locator digest

Returns your weekly locator digest — the same data that powers the Friday locator email. Use this to surface trip/event activity around the people and cities a member already follows.

The response is composed of four independent sections; pass ?sections=<csv> to skip any you don't need. Each section is described in full below.

  • homeCity — Activity in the city you have set as your home chapter. Null if you have no home city, or if you don't belong to any chapter yet.

  • favoriteCities — Per-city digest for cities you have favorited (besides your home city). Each entry lists upcoming trips/events into that city + new ones added since last week.

  • favoritePeople — Recent activity from members you follow: their new trips, upcoming trips, recently purchased tickets, and events they've RSVPd to.

  • myTrips — For each of your own upcoming trips, the people you're likely to overlap with (chapter leads, local members, and other DCers visiting the same city in the same window).

Pass a comma-separated subset to ?sections=... to omit sections you don't use — useful for narrow integrations and faster responses.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sectionsNoComma-separated list of sections to include. Defaults to all four sections when omitted.

TDQS

A4.4/5.0
Behavior4/5

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

No annotations provided, so description carries full burden. It explains the response structure and section skipping, which is helpful. Missing details on authentication or rate limits but sufficient for a read-only tool.

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?

Well-organized with bullet points for each section. Every sentence adds value, starting with the HTTP method and purpose.

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?

Given complexity of response with four sections, the description is thorough. Could mention prerequisites like having a home city, but overall very complete without output schema.

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 covers parameter fully, but description adds extensive details on each section's content and behavior beyond the enum list, providing significant additional value.

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?

Description explicitly states 'Get locator digest' and explains the resource. It distinguishes from sibling tools like locator_settings by focusing on digest data.

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?

Provides clear context: 'Use this to surface trip/event activity...' and explains how to select sections. Lacks explicit when-not-to-use or alternatives.

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

A3.7/5.0
Disambiguation4/5

Despite the large number of tools, each has a detailed description that clearly distinguishes its purpose. Minor potential overlaps (e.g., search vs. resource-specific search, own vs. other's agenda) are well documented, so an agent can differentiate them.

Naming Consistency4/5

Tool names follow a consistent verb_noun or resource_subresource_action pattern in snake_case. A few tools are just nouns (e.g., 'alerts', 'announcements'), but these are top-level listing endpoints; overall the naming is predictable.

Tool Count2/5

85 tools is very high for a single server, making it difficult for an agent to efficiently explore and select the right tool. While each tool seems justified for the broad domain, the count feels overwhelming and could be streamlined.

Completeness3/5

The tool surface covers most major areas (events, trips, chapters, rooms, search, profile, etc.) with CRUD or lifecycle operations. However, the lack of a 'send message' tool for rooms is a notable gap, and some resources (e.g., events) are read-only on creation/update, limiting agent workflows.