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demand_radar

Free weekly comparison of buyer demand on Reddit BY CATEGORY (startups, marketing, sales, dev & AI, services, ecommerce): where demand ran hottest this week, with top themes and thread receipts per category. Call with no arguments for the comparison, or pass a category key for its detail.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNoOptional category key: startups | marketing | sales | dev-ai | services | ecommerce.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses the output type (comparison, top themes, thread receipts) and optional param behavior, but does not mention side effects, authentication, rate limits, or data freshness. Adequate but not deep.

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?

Two sentences pack the core purpose, category list, and usage instructions without redundancy. Front-loaded and efficient.

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?

For a tool with one optional parameter and no output schema, the description covers purpose, usage, and output summary sufficiently. Lacks edge-case handling or exact response format, but is largely complete.

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 schema already documents the parameter and valid values (100% coverage). The description adds meaning by explaining how the parameter changes the output (comparison vs. detail), which goes beyond the schema.

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 performs a 'weekly comparison of buyer demand on Reddit' and enumerates the specific categories. It distinguishes itself from sibling tools by emphasizing the aggregated, weekly overview nature.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit call patterns ('Call with no arguments for the comparison, or pass a category key for its detail'), but does not name alternative tools or exclusion criteria. Context is clear, so it earns a 4 rather than 3.

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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