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suggest
Read-onlyIdempotent

Ticketmaster Discovery API — autocomplete suggestions for a keyword: returns matching events, attractions, and venues ranked by relevance. Use to resolve partial names before querying other endpoints.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering safety and side-effect expectations. The description adds that it returns ranked suggestions and is tied to the Ticketmaster Discovery API, but doesn't disclose additional behaviors like result limits or pagination. Since annotations carry most of the burden, the description adds modest value beyond them.

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, front-loaded with the core purpose, then a usage note. No filler or repetition. Every sentence adds value.

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?

The tool is simple (one parameter, no nested objects) and has an output schema, so the description doesn't need to detail return values. It covers the what, the output type, and the when-to-use. Slight gap: no mention of any limitations or edge cases (e.g., no results), but overall it's sufficiently complete for its complexity.

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?

The schema only defines a 'keyword' string with no description (0% coverage), but the tool description explicitly explains its meaning: 'autocomplete suggestions for a keyword' and 'resolve partial names.' This compensates for the schema gap by telling the agent the parameter should be a partial name, adding clear semantics.

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?

The description states a specific verb+resource: 'autocomplete suggestions for a keyword: returns matching events, attractions, and venues ranked by relevance.' It clearly distinguishes from sibling search tools by explicitly positioning this as a pre-resolution tool for partial names before querying other endpoints.

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 usage context: 'Use to resolve partial names before querying other endpoints.' This tells the agent when to use the tool, though it doesn't explicitly name alternative tools or state when not to use it, which would earn a 5.

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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