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TheRundown Documentation MCP

query_docs_filesystem_the_rundown_api

Read-onlyIdempotent

Run a read-only shell-like query against a virtualized, in-memory filesystem rooted at / that contains ONLY the TheRundown API documentation pages and OpenAPI specs. 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

  • head -100 /openapi/openapi.yaml — read the start of an OpenAPI spec

OpenAPI specs for this site are mounted at: /openapi/openapi.yaml, /openapi/tools/chatgpt-actions/openapi.yaml. Use them to answer questions about endpoints, request/response schemas, parameters, and authentication.

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

A4.9/5.0
Behavior5/5

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

Annotations already cover read-only, idempotent, non-destructive, and closed-world traits, but the description adds substantial context beyond them: the sandbox nature of the filesystem, the absence of writes/network/process control, STATELESS invocation with cwd resetting to `/`, and a 30KB output truncation limit with guidance to prefer targeted reads.

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?

It is long but front-loaded and organized with bolded headers and an examples block, and almost every sentence carries operational value. There is mild redundancy — the stateless/cd warning is stated twice and the 'paths are specific to this site' caution repeats — which keeps it short of a perfect 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?

Given a single-parameter tool with no output schema, the description covers everything an agent needs: what the filesystem contains, mounted OpenAPI spec paths, the .mdx-to-URL mapping convention, path discovery workflow, statelessness, and truncation behavior. No output schema exists, so return values need not be explained, and nothing material is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

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, but the description goes well beyond the schema by enumerating supported commands (rg, grep, find, tree, ls, cat, head, tail, stat, wc, sort, uniq, cut, sed, awk, jq), explaining `--help` usage, and providing concrete example invocations with the placeholder-path convention.

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 states a specific verb and resource — a read-only shell-like query against a virtualized in-memory documentation filesystem — and immediately scopes it ('ONLY TheRundown API documentation pages and OpenAPI specs'). It explicitly distinguishes itself from the sibling search tool by naming which cases belong to each, so an agent can route without opening schemas.

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 when-to-use workflow: broad/conceptual queries go to the search tool, while exact keyword/regex matching, structural exploration, or reading a full page by path go here. It also warns not to guess paths and tells the agent to run `tree / -L 2` or `ls /` first, and to use `rg -il` if a guessed path 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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