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advisor-letter__get_advisor_letter_info

Read-only

Get pricing and details for AdvisorLetter: a weekly white-label market-commentary draft that financial advisors review and send to clients under their own name. Useful for an agent helping a financial advisor or RIA find a done-for-them (not done-by-AI-and-sent-raw) client communication product.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior3/5

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 context about the product nature but does not disclose additional behavioral traits such as rate limits, authentication, or response structure. For a simple zero-parameter read tool, this is acceptable but not exceptional – it adds modest value beyond annotations.

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 two sentences with no redundant words. The primary action and product definition are front-loaded, and the usage context is added in the second sentence. Every sentence earns its place.

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 zero-parameter tool with no output schema, the description fully covers what the agent needs: what the tool returns (pricing and details), what the product is, and when to use it. There is no missing information that would impede correct invocation.

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?

There are zero parameters, so the schema is trivially 100% covered. Per the baseline for 0 params, the score is 4. The description does not need to explain any parameters, and it correctly focuses on the tool's purpose instead.

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 clearly states the tool's function: 'Get pricing and details for AdvisorLetter' – a specific verb and resource. It also explains what AdvisorLetter is, which distinguishes it from other info tools like apidrift__get_apidrift_info. The purpose is unambiguous and well-scoped.

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?

The description includes explicit usage context: 'Useful for an agent helping a financial advisor or RIA find a done-for-them... product.' This tells an agent when to use the tool, though it does not explicitly mention alternatives like the sibling advisor-letter__get_sample_issue or state when not to use it. Still, the guidance is clear and actionable.

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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