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agentfeed

recommend_products

What this store carries, spread across its categories. Use when the shopper asks for a suggestion without naming a product.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoHow many to return (1-50, default 20).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries full responsibility for behavioral disclosure. The description only says it lists products; it doesn't mention whether results are curated, random, or sorted, nor does it disclose any side effects (none expected). It also doesn't clarify pagination or that the limit parameter controls the number of results beyond the schema. This is a significant gap for a tool with no annotation support.

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 two sentences, both information-dense and free of fluff. The primary purpose is stated first, followed by usage guidance. There is no redundancy or filler, making it optimally concise.

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 simple tool with one parameter and no output schema, the description provides the essential purpose and usage trigger. It doesn't explain return format or any edge cases, but given the low complexity and the presence of sibling tools for other scenarios, this level of detail is sufficient. It could be more complete with a note about default behavior, but overall it's adequate.

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

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema covers the only parameter (limit) with a description, and coverage is 100%, so baseline is 3. The tool description adds no parameter-specific details beyond what the schema already provides. Since it doesn't need to compensate for low coverage, a 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the tool returns what the store carries across categories, which is a clear resource and action. It also differentiates from siblings by specifying it's for suggestions without a product name, though it doesn't detail the nature of recommendations (e.g., popularity, random). This is a clear purpose, but not maximally specific.

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?

The description explicitly states when to use it: 'when the shopper asks for a suggestion without naming a product.' This gives a clear trigger condition, though it doesn't explicitly name alternatives or when not to use it. Still, it implies that other tools (like get_product or search_products) are for named products, so guidance is adequate.

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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