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VarynForge

Expand radar topic

expand_radar_topic

Expand one radar topic (by signalObservationId + topicIndex from list_radar_topics) into 3-6 candidate article angles with title, intent, and editorial positioning; each angle is flagged when a near-duplicate already exists in the content plan. Optionally pass customPov for angles from a specific point of view. No writes — pass chosen angles to add_radar_topic.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customPovNo
projectIdYes
topicIndexYes
signalObservationIdYes

TDQS

A4.7/5.0
Behavior4/5

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

The description goes beyond annotations by explaining the output behavior (near-duplicate flagging) and explicitly stating 'No writes', which complements the readOnlyHint=false annotation. It does not describe error handling or rate limits, but the annotations cover the basic safety profile, so the added context earns a high score.

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?

The description is a single, well-structured sentence that packs essential information (input, output, optional parameter, and next step) without redundancy. The key details are front-loaded.

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?

Despite lacking an output schema, the description explains the return format (3-6 angles with title, intent, editorial positioning) and the flagging behavior. It also provides the next step (add_radar_topic) and covers the main parameters, making the tool's behavior fully understandable for an agent.

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?

The description references most parameters ('signalObservationId', 'topicIndex', 'customPov') and clarifies their roles (e.g., 'by signalObservationId + topicIndex' and 'Optionally pass customPov'). While projectId is not explicitly described, the description adds meaning beyond the raw schema and covers the core parameters.

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's verb ('Expand'), the resource ('radar topic'), and the specific output ('3-6 candidate article angles with title, intent, and editorial positioning'). It also indicates a distinct behavior (flagging near-duplicates) and distinguishes the tool from siblings like add_radar_topic by noting the follow-up step.

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 provides clear usage context: it explains the input parameters ('by signalObservationId + topicIndex'), the optional customPov, and explicitly notes that this tool does not write, guiding the agent to pass results to add_radar_topic. This effectively tells when to use this tool versus alternatives.

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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