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Tecton MCP Server

Tecton MCP Server

Official
by tecton-ai
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

query_example_code_snippet_index_tool

Find relevant Tecton code examples by querying a vector index. Get Python snippets for entities, configs, feature views, and tests to guide implementation.

Instructions

Finds relevant Tecton code examples using a vector database.
It is always helpful to query the examples retriever before generating Tecton code.

Input query examples:
- "examples of an Entity"
- "examples of a KinesisConfig"
- "examples of a KafkaConfig"
- "examples of a batch feature view"
- "examples of a count distinct aggregation feature view"
- "examples of a percentile aggregation feature view"
- "examples of a stream feature view"
- "examples of an aggregation stream feature view"
- "examples of a realtime feature view"
- "examples of a realtime feature view that transforms data from another feature view"
- "examples of a fraud feature"
- "examples of a recsys case"
- "examples of a test"

The output will be a collection of python code examples that use Tecton to implement features, ranked by relevance.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "query": "<query>"
    },
    "name": "query_example_code_snippet_index_tool"
  }
}

Input Schema

NameRequiredDescriptionDefault
queryYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the disclosure burden, and it does disclose the retrieval mechanism ('vector database'), the output form ('collection of python code examples'), and the ranking ('ranked by relevance'). It could add failure or freshness caveats, but for a simple retrieval tool the core behavior is transparent.

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?

The main description is front-loaded and the output format is stated in one sentence. The 13 examples are long but earn their place because the schema provides no query guidance; little in the text is redundant.

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 one-parameter retrieval tool with no output schema, the description covers what to send and what will come back. It lacks only edge-case behavior (e.g., empty results or non-Tecton queries), which is minor for this complexity.

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?

The schema gives only a bare 'query' string with no description (0% coverage), so the list of 13 concrete query examples is essential and largely compensates. It shows the expected phrasing and scope of queries, though it does not state an explicit 'describe the Tecton construct you need examples of' rule.

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 opening sentence uses a specific verb ('Finds'), a specific resource ('relevant Tecton code examples'), and a mechanism ('vector database'). Paired with sibling names like query_documentation_index_tool, this clearly marks the tool as the code-example retriever rather than a docs or SDK reference lookup.

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 gives an explicit condition: query the examples retriever before generating Tecton code. It does not explicitly name when to prefer documentation or SDK-reference siblings, so it stops short of full when-to-use/when-not-to-use 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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