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Query documentation filesystem

query_docs_filesystem_altss_data_agent_docs
Read-onlyIdempotent

Run a read-only shell-like query against a virtualized, in-memory filesystem rooted at / that contains ONLY the Altss Data & Agent Docs 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.

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": {
      "command": "<command>"
    },
    "name": "query_docs_filesystem_altss_data_agent_docs"
  }
}

Input 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 cover read-only, closed-world, idempotent and non-destructive behavior, but the description adds traits annotations cannot express: per-call statelessness with the working directory resetting to `/`, no writes/network/process control, and a 30KB output truncation limit with advice to prefer targeted `rg -C` over broad `cat`. These are exactly the operational constraints that change how an agent composes calls.

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?

Content is front-loaded (what it is, then how to read pages, then how to discover paths, then workflow) and each block is scoped with bold headers. It runs long and the 'never guess paths' guidance is repeated in two separate paragraphs, so a small amount of redundancy keeps it off a 5.

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?

No output schema exists, and the description compensates by explaining truncation, the `.mdx`-to-URL path mapping for citing results, and the meaning of a missing path (a wrong guess, not an undocumented topic). For a single free-form command parameter with broad expressiveness, nothing an agent needs to call it correctly is absent.

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% for the single `command` parameter, so the baseline is 3; the description earns above baseline by enumerating the supported command set (rg, grep, find, tree, ls, cat, head, tail, stat, wc, sort, uniq, cut, sed, awk, jq) and by supplying five concrete invocation examples plus the `--help` discovery path. It does not restate the parameter format itself, which is the only reason it falls short of 5.

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 opens with a specific verb and resource ('Run a read-only shell-like query against a virtualized, in-memory filesystem rooted at `/`') and names the exact corpus ('ONLY the Altss Data & Agent Docs documentation pages'). It immediately negates the most likely misinterpretation ('This is NOT a shell on any real machine'), so an agent can distinguish it from any real execution tool without opening the 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?

It gives an explicit routing rule against the sibling: 'Start with the search tool for broad or conceptual queries ... Use this tool when you need exact keyword/regex matching, structural exploration, or to read the full content of a specific page.' It also states the negative case ('there is no separate "get page" tool') and the recovery path when a path guess fails.

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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