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Search help articles

search_help
Read-onlyIdempotent

Search TicketsMinistry help articles for customers and organisers: buying tickets, getting e-tickets, refunds, payments, listing an event. Returns article titles, summaries and links.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesWhat the person needs help with, e.g. refund for cancelled event.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint and non-destructive behaviour, so safety is covered. The description adds genuinely new information by disclosing the return shape (titles, summaries, links), which is valuable given there is no output schema.

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: the first defines scope and topics, the second states the return content. Front-loaded and appropriately sized for a one-parameter search tool.

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 simple read-only search with full schema coverage and no output schema, the description covers purpose, scope and return fields. It omits result limits or ranking behaviour, but that is a minor gap rather than a blocking one.

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 required parameter with 100% schema description coverage, so the baseline is 3. The description's topical enumeration loosely frames what the query should cover (refunds, payments, etc.), but adds no syntax or formatting detail beyond the schema's own example.

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 (Search) and resource (TicketsMinistry help articles) and enumerates the topical scope: buying tickets, e-tickets, refunds, payments, listing an event. This clearly separates it from siblings like search_events and get_event, which operate on event data rather than help content.

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

Usage Guidelines3/5

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

Usage is implied by the topical list — the agent can infer it is for customer/organiser support questions — but there is no explicit when-to-use or when-not-to-use guidance and no named alternative for non-help lookups, so the agent must infer routing from the sibling names.

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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