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SFomo: Bay Area events

Get city coverage

get_city
Read-onlyIdempotent

Get what SF Events covers in Bay Area: how many upcoming events it lists and for which dates, when the data was last published, how many sources feed it, and upcoming events per category, topic, neighborhood and town. Call it before searching to pick valid category, topic, neighborhood and town values, or to tell a user what this site covers; it returns counts only, no events (use search_events or list_upcoming for those). Takes no arguments. No sign-in; each client gets 30 calls a minute and 2,500 event rows an hour.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
mcpNo
nameNo
siteNo
metroNo
townsNoUpcoming events per town, the busiest first (search_events `town`)
topicsNoUpcoming events per topic (search_events `topic`)
regionsNo
coverageNoCoverage and accuracy page
timezoneNo
last_dateNo
categoriesNoUpcoming events per category (search_events `category`)
first_dateNo
attributionNo
free_eventsNo
neighborhoodsNoUpcoming events per neighborhood (the `neighborhood` argument)
data_generatedNoWhen this city's data was last published
upcoming_eventsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already declare read-only, idempotent, non-destructive, closed-world, but the description adds operational context beyond them: takes no arguments, requires no sign-in, returns counts only, and states concrete rate limits (30 calls/minute, 2,500 event rows/hour). That rate-limit and auth disclosure is exactly the behavioral detail 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?

Front-loads the return contents, then usage guidance, then constraints in a single dense paragraph with no filler sentences. It is information-rich rather than padded, though the run-on structure could be split for faster scanning.

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, the description needn't describe return format, and it covers everything else an agent needs: scope, what is excluded (events), when to call it, sibling alternatives, auth requirements, and rate limits. Complete for a zero-argument discovery tool.

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?

Zero parameters, so the baseline is 4; the description confirms this with 'Takes no arguments,' matching the empty schema. There is no parameter syntax to add meaning to, so nothing pushes it above the baseline.

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+resource ('Get what SF Events covers in Bay Area') and enumerates exactly what is returned: event counts, date range, last-published timestamp, source count, and per-category/topic/neighborhood/town breakdowns. It also explicitly distinguishes itself from siblings by noting it returns counts only, no events, pointing to search_events and list_upcoming for those.

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 ('Call it before searching to pick valid category, topic, neighborhood and town values, or to tell a user what this site covers') and an explicit when-not (no events here; use search_events or list_upcoming). Both the selection condition and the alternatives are named, leaving nothing to inference.

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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