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DarkFunnels documentation

query_docs_filesystem_dark_funnels

Read-onlyIdempotent

Run a read-only shell-like query against a virtualized, in-memory filesystem rooted at / that contains ONLY the DarkFunnels documentation pages. This is NOT a shell on any real machine — nothing runs on the user's computer, the server host, or any network. The filesystem is a sandbox backed by documentation chunks.

This is how you read documentation pages: there is no separate "get page" tool. To read a page, pass its .mdx path to head or cat — a page at the URL path /some/page lives at /some/page.mdx. To search the docs with exact keyword or regex matches, use rg. To understand the docs structure, use tree or ls.

Paths are specific to this site — never guess them. Discover real paths with tree / -L 2, ls /, or the search tool before reading. If a path does not exist, that only means the guess was wrong; it does NOT mean the topic is undocumented — use rg -il "keyword" / to find where it is covered.

Workflow: Start with the search tool for broad or conceptual queries like "how to authenticate" or "rate limiting". Use this tool when you need exact keyword/regex matching, structural exploration, or to read the full content of a specific page by path.

Supported commands: rg (ripgrep), grep, find, tree, ls, cat, head, tail, stat, wc, sort, uniq, cut, sed, awk, jq, plus basic text utilities. No writes, no network, no process control. Run --help on any command for usage.

Each call is STATELESS: the working directory always resets to / and no shell variables, aliases, or history carry over between calls. If you need to operate in a subdirectory, chain commands in one call with && or pass absolute paths (e.g., cd /some-directory && ls or ls /some-directory). Do NOT assume that cd in one call affects the next call.

Examples (replace the placeholder paths with real ones from tree or search):

  • tree / -L 2 — see the top-level directory layout

  • rg -il "rate limit" / — find all files mentioning "rate limit"

  • rg -C 3 "apiKey" /some-directory/ — show matches with 3 lines of context around each hit

  • head -80 /some/page.mdx — read the top 80 lines of a specific page

  • head -80 /page-one.mdx /page-two.mdx /section/page-three.mdx — read multiple pages in one call

  • cat /some/page.mdx — read a full page when you need everything

Output is truncated to 30KB per call. Prefer targeted rg -C or head -N over broad cat on large files. To read only the relevant sections of a large file, use rg -C 3 "pattern" /path/file.mdx. Batch multiple file reads into a single head or cat call whenever possible.

When referencing pages in your response to the user, convert filesystem paths to URL paths by removing the .mdx extension. For example, /some/page.mdx becomes /some/page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
commandYesA shell command to run against the virtualized documentation filesystem (e.g., `rg -il "keyword" /`, `tree / -L 2`, `head -80 /path/file.mdx`).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already declare readOnly=true, idempotent=true, non-destructive, and closed-world, and the description aligns with all of them. It then adds substantial context beyond the annotations: the environment is a disconnected sandbox with no network/writes/process control, each call is stateless with the working directory resetting to `/`, output truncates at 30KB, and paths are site-specific and must be discovered. This is rich behavioral disclosure that materially affects how an agent calls it.

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 description is long but every section earns its place: sandbox nature, command list, statelessness caveats, path-discovery warning, workflow, examples, and truncation behavior. The safety and identity facts are front-loaded in the first paragraph, and the most crucial operational warning (never guess paths) comes early. Slightly verbose in the command enumeration, but the density justifies the length.

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?

There is no output schema, so the description must carry the return-format burden — and it does: 30KB truncation, how to convert file paths to URL paths in responses, and how to batch reads. Combined with the statelessness rules, path-discovery guidance, and real examples, an agent has everything needed to invoke the tool correctly on its first try.

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% (single `command` parameter is described), so a baseline of 3 applies. The description adds meaning beyond the schema: a supported command list (rg, grep, find, tree, ls, cat, head, tail, stat, wc, sort, uniq, cut, sed, awk, jq), the `--help` hint, the `&&` chaining pattern for statelessness, and six worked examples. This goes well beyond the brief schema text, justifying a 4.

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 first sentence states a specific verb ('Run a read-only shell-like query') against a specific resource (a virtualized in-memory filesystem of DarkFunnels docs pages), and immediately distinguishes it from a real shell. It also differentiates from the sibling search_dark_funnels by framing this as the structural/exact-match reading tool, so an agent knows what it is vs. alternatives.

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?

The description gives an explicit workflow: use search_dark_funnels for broad/conceptual queries and this tool for exact keyword/regex matching, structural exploration, or full-page reads. It even notes there is no separate 'get page' tool, eliminating ambiguity about how to read pages. When-to-use vs. when-not-to-use is stated directly.

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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