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getLangfuseOverview

Read-only

Get a high-level, machine-readable index by downloading https://langfuse.com/llms.txt. Use this at the start of a session when needed to discover key docs endpoints or to seed follow-up calls to searchLangfuseDocs or getLangfuseDocsPage. Returns the plain text contents of llms.txt. Avoid repeated calls within the same session.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior4/5

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

readOnlyHint=true already tells the agent this is a safe read; the description adds that it performs a network download from a specific URL, that it returns plain text, and that repeated calls should be avoided in a session (implicit caching/cost guidance). It does not quantify size or state failure behavior, but that is minor for a zero-parameter read.

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?

Four short sentences, each doing distinct work: fetch target, trigger condition, return format, and anti-pattern warning. The trigger condition is front-loaded after the identity statement, and nothing is repeated.

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?

With zero parameters and no output schema, the description supplies exactly the missing pieces: what is fetched, that the return value is plain text of llms.txt, and how it relates to the sibling retrieval tools. No gap remains for an agent deciding whether to call it.

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 tool takes no parameters, so the baseline is 4. Nothing in the description is needed to explain inputs, and it correctly does not invent any.

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?

States a specific verb (downloads/gets) and a concrete resource (the llms.txt index at a named URL), and explicitly frames it as an index rather than a doc page. The sibling tools getLangfuseDocsPage and searchLangfuseDocs are named, so an agent can distinguish this entry-point tool from the retrieval tools without opening any schema.

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?

Gives an explicit when ('at the start of a session'), a purpose ('to discover key docs endpoints or to seed follow-up calls'), alternatives ('searchLangfuseDocs or getLangfuseDocsPage'), and a when-not ('Avoid repeated calls within the same session'). This is the full when/when-not/alternatives pattern.

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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