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savvly-mcp

Search Savvly Q&A Content Library

search_savvly_content
Read-onlyIdempotent

Search an audience-tagged Q&A library of 50 questions and answers on Savvly's value propositions, organized by stakeholder and subsection. Filter by audience, topic, or free text to find relevant marketing messaging.

Instructions

Search the Savvly Q&A Content Library — 50 audience-tagged questions and answers compiled from Savvly's marketing collateral, organized by stakeholder (employee, advisor, broker, employer, universal) and subsection (e.g. 'Tax & Legacy', 'Retention & Talent Strategy', 'Implementation'). Use this when the user asks about Savvly's positioning, value props, audience-specific talking points, or Q&A-style messaging. Each entry carries the verbatim answer plus any disclaimer footnotes attached to it in the source.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
audienceNoRestrict to one stakeholder audience. Omit to search across all audiences.
subsectionNoSubstring match against subsection labels (e.g. 'Tax', 'Retention', 'Eligibility'). Case-insensitive.
queryNoFree-text substring filter applied to questions, answers, and footnotes. Case-insensitive.
limitNoCap on matched entries returned. Default 20, max 50.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
total_in_libraryYesTotal Q&A entry count in the library across all audiences.
matchedYesCount of entries matching the supplied filters.
filter_appliedYesEcho of the filters that produced this result set.
available_subsectionsYesSubsection labels available within the (optionally) selected audience.
entriesYesMatched Q&A entries.
Behavior4/5

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

Annotations already indicate readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description adds that each entry carries the verbatim answer plus footnotes, providing context about the data source. It does not contradict 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 three sentences, front-loading the purpose and providing usage guidance and content detail efficiently. Every sentence adds value without redundancy.

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?

The description adequately covers the tool's purpose, data source, and usage context. It mentions the limit parameter but does not discuss result ordering or pagination beyond the limit. The presence of an output schema reduces the need to describe return values.

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% with clear descriptions for each parameter. The tool description provides high-level context about the library (50 items, audience-tagged) but does not significantly add detail beyond the schema for parameter meaning or usage.

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 that the tool searches the Savvly Q&A Content Library, specifying that it contains 50 audience-tagged questions and answers. It distinguishes from siblings by focusing on Q&A content search, while siblings handle eligibility, comparisons, product info, and projections.

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 explicitly tells when to use this tool: when the user asks about positioning, value props, audience-specific talking points, or Q&A-style messaging. It implies when not to use by contrasting with sibling tools, though it doesn't state exclusions directly.

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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