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FrontRowTickets.com MCP Server

get_availability

Read-onlyIdempotent

Ticket availability and starting price for one event. Note: the TicketNetwork Catalog API does not expose section-level price bands, so only totals and the starting price are returned.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
event_idYesEvent ID from search_events
quantityNoDesired ticket quantity (informational)
max_priceNoOnly report the event if its starting price is at or below this USD value

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, open-world), so the description's added value is the disclosure that the Catalog API cannot expose section-level price bands and only totals plus starting price come back. That is a genuinely useful expectation-setting limitation not implied by the annotations.

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?

Two sentences, zero filler, with the core purpose front-loaded and the API limitation placed second. Nothing repeats the title or the schema.

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?

With no output schema, the description carries the burden of describing returns, and it does so partially by explaining that only totals and a starting price are returned and that section-level bands are unavailable. It stops short of defining what "totals" comprises or whether unavailable/low-inventory events are represented, which would fully close the gap.

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%, so event_id, quantity, and max_price are already documented in the schema, including that quantity is informational and max_price is a starting-price cutoff. The description adds only a general statement about returned price granularity and does not clarify how quantity or max_price affect results, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a clear resource+outcome phrasing ("Ticket availability and starting price for one event"), so an agent immediately knows it retrieves availability data for a single event. It does not, however, name or contrast itself against siblings like get_event or get_deals, so the scope boundary is inferred rather than stated.

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

Usage Guidelines2/5

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

There is no explicit when-to-use guidance, no statement of prerequisites beyond the schema's event_id hint, and no mention of when to prefer get_deals or get_event instead. "For one event" implies a single-event lookup after obtaining an ID, but the agent must infer that entirely.

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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