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Read an AdvisorIQ article

get_article
Read-onlyIdempotent

One published AdvisorIQ research article in full (markdown), with its author, dates and address. Takes the slug or the article's URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesThe article slug or its advisoriq.com URL

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds value beyond that by disclosing the return shape (full markdown text plus author, dates, address), which the agent cannot infer from the annotations. It does not describe error behavior for an unknown slug, which is a minor gap.

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?

Two short sentences, front-loaded with what the tool returns and followed by the accepted input forms. Every clause carries information; there is no filler or repetition.

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 single-parameter read tool with no output schema, the description supplies everything needed: the content returned, its format (markdown), the ancillary fields (author, dates, address), and the accepted identifier forms. Safety and idempotency are covered by annotations, so nothing material is missing.

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?

Schema description coverage is 100% and the single parameter is already documented as 'The article slug or its advisoriq.com URL'. The description restates that same fact, adding no new syntax, format examples, or constraints beyond the schema, so the baseline of 3 applies.

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

Purpose4/5

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

The description states a specific resource (one published AdvisorIQ research article) and scope (in full, markdown, with author/dates/address), so an agent knows exactly what comes back. The word 'one' implicitly separates it from the search_research sibling, but that sibling is never named, so differentiation is inferred rather than explicit.

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?

Usage is implied: 'Takes the slug or the article's URL' tells the agent it needs an identifier, which in practice means finding one via search_research first. However, there is no explicit when-to-use statement, no when-not-to-use, and no named alternative, so guidance remains at the implied level.

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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