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AI Event Pro

aieventpro_pricing

Read-onlyIdempotent

Where prices live and what costs nothing 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

B3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered for free. The description does add one genuinely behavioral fact — the 200-calls-per-day-per-IP free quota and the external pricing URL — which is rate-limit context not present in annotations. It says nothing about auth requirements or whether the embedded figures can go stale.

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

Conciseness3/5

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

The single prose sentence is vague and front-loads a riddle rather than the purpose, while a raw JSON blob is pasted inline as part of the description text. The volume-pricing URL is the only tightly useful element; the rest could be one plain sentence.

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?

With no output schema, dumping the likely return payload into the description is a reasonable substitute and gives the agent concrete values. However, it is unclear whether these values are the full response or an example, and the relationship to aieventpro_plans remains unstated, leaving the definition only marginally complete for an informational endpoint.

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 has zero parameters and 100% schema coverage, so there is nothing for the description to clarify. Baseline applies; no penalty is warranted.

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 phrasing "Where prices live and what costs nothing" gestures at pricing but never states a clear verb+resource (e.g. "Returns the current API pricing and free tier"). The embedded JSON payload does reveal the subject matter, but an agent must infer that this is a zero-argument informational lookup. It also gives no signal distinguishing it from the sibling aieventpro_plans.

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 when-to-use guidance at all — nothing says whether to call this instead of aieventpro_plans, nor whether the returned quota is authoritative or a snapshot. The only implicit cue is that it takes no parameters, which an agent gets from the schema, not the description.

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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