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ELC Conference 2027: tickets, perks, partnerships

get-attendee-perks

Read-onlyIdempotent

What an ELC Conference 2027 ticket includes for an attendee: main-stage talks, hands-on workshops, 1:1 mentoring, experience zones, all-day catering and the afterparty, the pub quiz, the team pack (sold as 4+1 free in 2026), paying by invoice and how to get notified when tickets open. Use when someone asks what they get for a ticket, whether it is worth it, or about a group/team discount.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextNoOptional. A short description of your goal and why you are calling this tool. Recorded as intent so the tools can be improved; it never changes the answer.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint=false and destructiveHint=false, so the safety profile is fully covered by structured data. The description adds content-level context (2026 team pack pricing, invoice payment) but discloses no operational behavior such as source freshness or limitations. With annotations carrying the burden, a 3 is appropriate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The first sentence is a dense run-on that packs every perk, pricing nuance and payment method into one list, which makes it hard to scan. The usage sentence is well-placed and front-loaded only after that block. Much of the enumerated content arguably belongs in the tool's answer rather than its description.

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 no-required-params, read-only informational tool with no output schema, the description is complete enough: an agent knows the topic it will get back and when to call it. It only lacks a clean statement of the return shape and any pointer to the alternative package-comparison tools.

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?

There is a single optional 'context' parameter at 100% schema description coverage, and the schema already explains that it is an intent-recording field that never changes the answer. The description says nothing further about it, so the baseline of 3 applies when the schema does the work.

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 states a specific resource — what a conference ticket includes — and enumerates the concrete contents (talks, workshops, mentoring, catering, afterparty, team pack, invoice payment). It is clearly distinguishable from siblings like get_package or buy_ticket, though it never states plainly that it returns the perks list rather than, say, prices.

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?

It gives explicit trigger conditions: 'Use when someone asks what they get for a ticket, whether it is worth it, or about a group/team discount.' That covers when-to-use well, but it does not name the adjacent tools (compare_packages, get_package) or say when this one is the wrong choice.

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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