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Ticker: Live Event Ticket Market

Performer Analytics

get_performer_analytics
Read-only

One performer's numbers as they read now: popularity rank, average prices across its events, listings, X activity, playoff odds and prediction markets. Pass range for its popularity rank over time, one row per date, where a higher rank is better and null means unranked, not zero. Use get_event_analytics for one event. Replaces get_performer_rank_chart.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rangeNoLookback window over snapshot_date: 7d | 14d | 28d | 90d | all (all is bounded to ~1 year). Default 28d.
renderNoA rendered chart (a PNG image content block) is included ahead of the data by default. Pass render:false for a data-only (smaller) response.
columnsNoSpecific performer_analytics columns to return (bare names). Omit for the full row.
performer_idYesThe performer to look up. Ticker performer id, `pf` plus ten characters, as returned by every tool here. A marketplace id also resolves with its `vs:` prefix, and bare until 2027-09-13.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / range
      Added value: +{
      +  "description": "Lookback window over snapshot_date: 7d | 14d | 28d | 90d | all (all is bounded to ~1 year). Default 28d.",
      +  "enum": [
      +    "7d",
      +    "14d",
      +    "28d",
      +    "90d",
      +    "all"
      +  ],
      +  "type": "string"
      +}
    • addedInput schema / properties / render
      Added value: +{
      +  "description": "A rendered chart (a PNG image content block) is included ahead of the data by default. Pass render:false for a data-only (smaller) response.",
      +  "type": "boolean"
      +}
  2. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint=true, destructiveHint=false), so the bar is lower. The description adds genuinely useful semantics beyond that: 'as they read now' conveys snapshot behavior, and 'higher rank is better and null means unranked, not zero' disambiguates a subtle data trait that annotations cannot express.

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 core output ('One performer's numbers as they read now') before drilling into range semantics and routing. Slightly dense and the range sentence is a touch awkward, but nearly every sentence carries useful information.

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 does the work of naming returned fields and the range semantics. For a read-only analytics tool with full schema coverage and covered annotations, this is essentially complete, though explicit 'when not to use' guidance is absent.

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?

Schema description coverage is 100%, so the baseline is 3. The description adds value over the schema by clarifying what 'range' actually governs — the performer's popularity rank over time, one row per date — which the schema only vaguely frames as a 'lookback window over snapshot_date'.

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 and resource ('get performer analytics') and enumerates exactly what it returns: popularity rank, average prices, listings, X activity, playoff odds, and prediction markets. It explicitly routes the agent away from get_event_analytics and names the sibling it replaces (get_performer_rank_chart), so it is distinguishable without opening a schema.

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 names the alternative ('Use get_event_analytics for one event') and declares itself the replacement for get_performer_rank_chart, which gives clear routing context. However, it does not spell out an explicit when-not-to-use condition for this tool beyond the sibling pointer.

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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