Skip to main content
Glama

DarkFunnels documentation

Search documentation

search_dark_funnels
Read-onlyIdempotent

Search across the DarkFunnels knowledge base to find relevant information, code examples, API references, and guides. Use this tool when you need to answer questions about DarkFunnels, find specific documentation, understand how features work, or locate implementation details. The search returns contextual content with titles and direct links to the documentation pages. If you need the full content of a specific page, use the query_docs_filesystem tool to head or cat the page path (append .mdx to the path returned from search — e.g. head -200 /api-reference/create-customer.mdx).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query
languageNoFilter to specific language code (e.g., 'zh', 'es'). Defaults to 'en'

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already cover read-only, idempotent, and non-destructive traits. The description adds valuable behavioral context: search returns contextual content with titles and links rather than full pages, and how to retrieve full content by appending .mdx. This goes beyond the annotation baseline.

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?

Three concise sentences, each with a distinct role: purpose, usage guidance, and return-value/next-step behavior. The example is illustrative and not redundant. No fluff or repeated schema content.

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?

For a simple two-parameter search tool with no output schema, the description covers what it returns, how to use the results, and where to go for full content. An agent has all necessary context to call the tool correctly and handle the response.

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 description coverage is 100% and both parameters have descriptive text. The description does not add significant new information about the query or language parameters beyond what the schema already provides, so the baseline score of 3 is appropriate.

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 uses a specific verb ('Search across') and names the resource ('DarkFunnels knowledge base') with clear scope. It distinguishes itself from the sibling query_docs_filesystem_dark_funnels by explicitly noting that full page content is obtained elsewhere.

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?

It gives explicit when-to-use conditions: answering questions about DarkFunnels, finding documentation, understanding features, or locating implementation details. It also provides a clear when-not-to-use directive, directing the agent to query_docs_filesystem for full page content, including a concrete example.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.3/5.0
Disambiguation4/5

The search and filesystem query tools have overlapping search capabilities, but the descriptions clearly delineate use cases: search for broad/conceptual queries, filesystem for exact keyword matching, structural exploration, and reading full pages. Feedback is completely distinct.

Naming Consistency3/5

All tools start with imperative verbs, but the naming is inconsistent: one tool has a long, suffixed name (query_docs_filesystem_dark_funnels), another is short with the server suffix (search_dark_funnels), and the third is a plain verb_noun (submit_feedback). The pattern is readable but not uniform.

Tool Count4/5

Three tools is slightly minimal but appropriate for a documentation server: search, read/query, and feedback cover the essential needs. The count feels reasonable if somewhat lean.

Completeness5/5

The tool set fully covers the documentation domain: finding relevant pages, reading full content, exploring structure, and submitting feedback about errors. There are no obvious dead ends or missing core operations.