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Savvly

savvly-mcp

Get Savvly FAQ

get_savvly_faq
Read-onlyIdempotent

Retrieve accurate answers to common Savvly FAQs on fees, withdrawals, payouts, and regulatory compliance, backed by primary sources.

Instructions

Get answers to frequently asked questions about Savvly. Use when the user has specific questions about how Savvly works, fees, withdrawals, or regulatory status. It is a convenience view of search_savvly_content scoped to the factual FAQ; for richer, audience-specific Q&As (employee / advisor / broker / employer), use search_savvly_content instead. These facts come from Savvly's own current records; the response includes primary sources (e.g. SEC filings) for reference.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sectionNoFilter the FAQ to one section (kebab-case, e.g. 'tax-legacy'); 'all' returns every entry.all

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
totalYesCount of FAQ entries returned.
entriesYesFiltered FAQ entries (the audience:'general' Q&A slice).
sectionYesSection filter applied to produce this result set ('all' if no filter).
Behavior4/5

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

Annotations provide readOnlyHint, idempotentHint, destructiveHint. The description adds that facts come from Savvly's current records and responses include primary sources, providing valuable context 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?

Three sentences front-load purpose, then usage guidelines, then additional context. No wasted words, highly efficient.

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 tool with one optional enum parameter, full annotations, and an output schema, the description is complete: it explains the tool's purpose, usage, scope, and data provenance.

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 coverage is 100% and schema already describes 'section' parameter. The description adds the contextual purpose of the parameter (filtering FAQ sections) but does not provide substantial new info beyond the schema.

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 verb 'Get' and resource 'answers to frequently asked questions about Savvly'. It also distinguishes from sibling tool 'search_savvly_content' by noting it is a convenience view scoped to the factual FAQ.

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

Usage Guidelines5/5

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

The description explicitly says 'Use when the user has specific questions about how Savvly works, fees, withdrawals, or regulatory status' and advises using 'search_savvly_content' for richer, audience-specific Q&As.

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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