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AI Event Pro

aieventpro_about

Read-onlyIdempotent

What AiEventPro does and what is free Pricing: {"unit": "call", "price_usd": 0, "free_quota": "200 per day per IP", "note": "Keyed volume pricing is published at https://aieventpro.art/pricing"}.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
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, so the safety profile is covered. The description adds the '200 per day per IP' free quota, which is genuinely useful context, but it is ambiguous whether that is a rate limit imposed on this tool or simply a value returned in the payload.

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

Conciseness2/5

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

The description is a sentence fragment with a raw JSON pricing object spliced into the prose. This is not front-loaded or well-formed, and it is unclear whether the JSON is explanatory metadata or a preview of the return value, so the reader has to interpret rather than read.

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

Completeness3/5

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

For a zero-param informational tool with read-only annotations and no output schema, the description should at least establish what kind of content comes back. It gestures at product description plus free-tier pricing, but the embedded pricing blob muddies whether price/quota are returned fields or constraints on calling the tool.

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 tool takes zero parameters, so there is nothing for the description to disambiguate. Baseline for a 0-param tool applies; no semantic gap exists.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description says it covers 'What AiEventPro does and what is free', which identifies a product-overview resource, but the phrasing is vague about the actual verb (return? describe?) and it does not distinguish itself from sibling aieventpro_pricing or aieventpro_plans, both of which sound like they cover overlapping ground.

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

Usage Guidelines2/5

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

There is no statement of when to call this tool versus aieventpro_plans or aieventpro_pricing, and no prerequisites or exclusions. An agent must guess whether to call this for pricing questions or the dedicated pricing tool.

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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