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List an event's off-platform sponsors

event_sponsor_text
Read-only

Sponsors of one event that are NOT themselves on ClusterHack (a name, description, website and logo entered as free text, with the sponsorship tier each one belongs to) — the off-platform counterpart to event_sponsors. Public read.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
event_slugYesSlug of the event.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context beyond that: the endpoint is 'Public read' (no auth), and the data entries are free-text records (name, description, website, logo) with a sponsorship tier. It does not mention pagination or errors, but these are not critical for a simple read list.

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?

The description is a single dense sentence that front-loads the core purpose and packs inclusion criteria, field definitions, sibling contrast, and access level without redundancy. Every clause provides needed information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter, read-only list tool, the description gives everything needed to call it correctly: the schema covers the parameter, the output contents are enumerated, and the relationship to `event_sponsors` removes ambiguity. No output schema exists, but the data shape is sufficiently specified.

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?

The sole parameter `event_slug` is fully described in the schema with 100% coverage. The tool description reinforces that the tool targets 'one event' but adds no formatting or edge-case semantics beyond the schema, so the high-coverage baseline of 3 is appropriate.

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 names a specific action and resource: listing the sponsors of one event. It also states the key discriminator, sponsors that are NOT on ClusterHack, and identifies the off-platform counterpart to `event_sponsors`, making the distinction from the sibling tool explicit.

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 clear context for when to use it (for sponsors not on ClusterHack) and names `event_sponsors` as the counterpart alternative. It does not explicitly say 'use `event_sponsors` for on-platform sponsors', but the counterpart framing leaves that relationship unambiguous.

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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