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Samplyn FAQ

get_faq
Read-onlyIdempotent

Answers to the questions buyers ask before a demo (EDI, accounting, factories, switching, data, AI, pricing, setup time). Give a query to filter, or none for all.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_faq"
  }
}

Input Schema

NameRequiredDescriptionDefault
queryNoWords to look for.

Output Schema

NameRequiredDescriptionDefault
queryNo
resultsYes
source_urlYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and a closed-world scope, so the safety profile is fully covered structurally. The description adds one useful behavioral fact—omitting the query returns everything rather than erroring—but says nothing about result volume, ranking, or match behavior for a broad query.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tight sentences with the purpose front-loaded and the calling convention immediately after it. The parenthetical topic list is long but earns its place by telling the agent what content is available; nothing is redundant padding.

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?

Output schema exists, so return values need not be explained, and with one optional parameter at full schema coverage the definition covers what an agent needs to call it. The only shortfall is the lack of routing guidance among the many sibling lookup tools.

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?

Schema coverage is 100%, so baseline would be 3, but the description adds meaning the schema does not: the parameter is a filter and its omission yields the full set rather than an empty result. That default-behavior semantics is genuinely additive for a single optional parameter.

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?

States a concrete verb and resource ('answers to the questions buyers ask before a demo') and enumerates the covered topics, so an agent knows this is a pre-sales FAQ lookup. It does not explicitly differentiate from siblings such as get_pricing or get_overview, even though 'pricing' is listed as one of its topics, leaving slight ambiguity about overlap.

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?

The pre-demo buyer framing implies when the tool is relevant, and 'Give a query to filter, or none for all' clarifies call patterns. However, there is no explicit statement of when to prefer this over get_pricing, get_overview, or search_samplyn, and no exclusions are given.

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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