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get_faq

Read-onlyIdempotent

Look up answers in the Canton Network developer FAQ (Canton Foundation curated, hackathon-tested): Canton/Daml installation, party creation, Daml contracts, Ledger/Scan APIs, testnet deployment, Canton Coin/token standard, common gotchas. Returns the 3 NEAREST FAQ entries, which may not exactly match. Canton-specific, do NOT use for other blockchains or general/non-Canton questions. If none of the 3 directly answers the question, or the user needs specific config values, commands, or parameters, use semantic_search over the full docs (then get_doc) rather than answering from a near-miss. For a full onboarding path use get_started_guide; for API endpoint details use get_api_reference.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
questionYesDeveloper's question, e.g. "how do I install", "create party", "deploy to testnet".

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations indicate readOnly and idempotent. Description adds that it returns 3 nearest entries which may not exactly match, disclosing approximate matching behavior beyond what annotations provide.

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?

Description is reasonably concise and front-loaded with purpose, but slightly verbose with extensive usage guidance. Still well-structured and informative.

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?

Given a single parameter and no output schema, the description fully covers purpose, scope, limitations, and alternatives. No critical information is missing for effective agent use.

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 a clear parameter description. The description only adds examples of questions, providing minor extra value 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?

Description clearly states it looks up answers in Canton Network developer FAQ, specifying the domain and that it returns 3 nearest entries. It distinguishes from siblings like semantic_search, get_started_guide, and get_api_reference.

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 states when not to use (other blockchains, general questions) and advises alternatives (semantic_search, get_started_guide, get_api_reference) when results are insufficient.

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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