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Upcoming AdvisorIQ webinars

upcoming_webinars
Read-onlyIdempotent

Live AdvisorIQ webinars scheduled from now, soonest first, with the time in Eastern, presenters, sponsor, and the CE credit each offers with its approval status. Filter by topic and by credit (CFP, IWI, CFA or IAR; only approved credit matches). Credit marked pending is not yet approved by the body.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicNoTopic name or slug, e.g. tax planning
creditNoCFP, IWI, CFA or IAR

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive and a closed world, so the safety profile is covered. The description adds genuinely non-structured behavior: results are sorted soonest-first, times are rendered in Eastern, and 'Credit marked pending is not yet approved by the body' explains the approval-status semantics that govern filtering and output.

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?

Two sentences, front-loaded with what the tool is and how it orders data, then filters. Dense but every clause carries payload or filtering information; only the final sentence about pending credit is slightly redundant with the earlier 'approval status' mention.

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?

No output schema exists, so the description carries the return-shape burden and does so by naming the fields returned (time in Eastern, presenters, sponsor, CE credit + approval status). Combined with the two filter semantics, an agent has everything needed to call it correctly without guessing.

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 goes beyond raw field docs by explaining the filtering semantics — approvals-only matching for credit and the meaning of 'pending' — which changes how an agent should interpret and use the parameters.

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+resource ('Live AdvisorIQ webinars scheduled from now') plus ordering and the exact payload fields (Eastern time, presenters, sponsor, CE credit with approval status). The 'live/upcoming' framing implicitly separates it from the 'replays' sibling, so an agent can route without opening the schema.

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

Usage Guidelines3/5

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

Gives filter conditions ('Filter by topic and by credit') and clarifies that only approved credit matches return, which implies when to pass the credit filter. It never names an alternative tool (e.g. replays for past sessions) or states when not to use this tool, so usage is implied rather than explicit.

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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