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Savvly

savvly-mcp

Get Savvly FAQ

get_savvly_faq
Read-onlyIdempotent

Retrieve answers to frequently asked questions about Savvly's features, fees, withdrawals, and regulatory status. Filter by topic for specific information.

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. For richer, audience-specific Q&As (employee / advisor / broker / employer), use search_savvly_content instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicNoFilter FAQ by topicall

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYesTopic filter applied to produce this result set ('all' if no filter).
totalYesCount of FAQ entries returned.
entriesYesFiltered FAQ entries.
Behavior3/5

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

Annotations already signal read-only, non-destructive, idempotent behavior. Description adds context that it returns FAQ content but doesn't discuss edge cases or data freshness, which is acceptable given simplicity.

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 sentences: first states purpose, second provides usage context and alternative. No wasted words, front-loaded with key information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with one optional parameter, good annotations, and an output schema, the description covers purpose, usage, and alternatives. Minor gap: no detail on output format, but output schema handles it.

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?

With 100% schema coverage, the description adds no extra meaning beyond what the schema's parameter description and enum already provide. Baseline 3 is appropriate.

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 it provides answers to FAQs about Savvly, lists specific domains (fees, withdrawals, regulatory), and distinguishes from sibling `search_savvly_content` for audience-specific Q&As.

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?

Explicitly specifies when to use (user has specific questions about Savvly) and when not to (for audience-specific Q&As, use alternative), providing clear decision guidance.

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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