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VarynForge

Download brief markdown

download_brief_markdown

Get a brief as inline markdown the host agent can use as a writing prompt. Pass format=markdown_inline, and channel (article default) to pick which of the suggestion’s per-channel briefs to render. Returns the brief assembled into a single markdown string capped at ~8K chars — markdown only; the structured fields are get_article_brief’s job and are omitted here.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatYes
channelNo
projectIdYes
suggestionIdYes

TDQS

A4.5/5.0
Behavior4/5

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

The description adds meaningful behavioral context beyond the sparse annotations: the return is a single markdown string capped at ~8K chars, markdown-only, and structured fields are excluded. It does not address the readOnlyHint:false implication of possible side effects, but it does not explicitly contradict the annotations.

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 compact at three sentences, with purpose front-loaded and usage/output details following in a logical order. Every sentence contributes distinct information, though it is slightly denser than necessary.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers the call pattern, output format, size cap, and the key sibling alternative, making it largely complete for a 4-parameter tool with no output schema. Minor gaps remain: it does not clarify why the schema enum also lists pdf and markdown, or whether any side effects exist given readOnlyHint:false.

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?

With 0% schema description coverage, the description compensates by explaining format=markdown_inline and the channel parameter with its default. The IDs (suggestionId, projectId) are not described in prose, but they are standard UUIDs and referenced naturally as 'the suggestion’s per-channel briefs' and the project context.

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 clearly states the tool gets a brief as inline markdown to serve as a writing prompt, naming the specific format and resource. It also distinguishes itself from get_article_brief by explaining that structured fields are intentionally omitted, so the purpose is unambiguous and sibling differentiation is explicit.

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 direct usage instructions: pass format=markdown_inline and choose a channel with a stated default. It also tells the agent when not to use this tool by pointing to get_article_brief for structured fields, making the selection between alternatives clear.

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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TDQS

A3.8/5.0
Disambiguation4/5

Most tools have distinct purposes, but a few pairs could confuse an agent: add_article_suggestion vs create_article_suggestion_with_input, and get_article_brief vs download_brief_markdown vs get_write_handoff all deal with brief content. The detailed descriptions help disambiguate, but the overlap is real.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in lowercase snake_case (create_project, list_opportunities, generate_article_brief, lint_draft). There is no mixing of camelCase, acronyms, or vague verbs, making the naming predictable and readable.

Tool Count2/5

50 tools is excessive for an MCP server, even for a broad platform like content operations. While the scope is large, this many tools will overwhelm agents and increase latency and context cost. Most practical servers are well under 25.

Completeness4/5

The tool surface covers the full content lifecycle: project creation, research, opportunity clustering, content planning, briefs, drafting, linting, publishing, and reporting. Minor gaps exist (e.g., no delete_project, no remove_destination, no direct analytics beyond distributions), but they are workarounds or handled in the web UI.

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