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recommendations-api

Recommendations API JSON lookup for technology recommendations by domain.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "lookup": "<lookup>"
    },
    "name": "recommendations-api"
  }
}

Input Schema

NameRequiredDescriptionDefault
lookupYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

Annotations declare readOnlyHint=false, openWorldHint=false, destructiveHint=false, which is in mild tension with the word 'lookup' implying a read. The description adds nothing about cost, auth requirements, pagination, or error behavior. For a network-backed recommendation lookup, that leaves key behavioral context undisclosed.

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?

One compact, front-loaded sentence with no filler. It is efficient, though the 'JSON' qualifier is redundant given no alternative response format is offered here.

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

Completeness2/5

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

With no output schema, no parameter documentation, and no annotation explaining the readOnlyHint=false, the definition leaves the return shape and the required input format unexplained. For a simple one-parameter tool a short example or format note would have closed the gap, and neither is present.

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?

Schema description coverage is 0% for the single 'lookup' parameter, so the schema gives no meaning. The phrase 'by domain' is the only clue that 'lookup' is a domain value, which is a modest but real addition. It still omits format (bare domain vs. URL), case handling, and failure behavior for invalid input.

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 sentence names a specific verb ('lookup') and a specific resource ('technology recommendations'), scoped 'by domain', so an agent knows roughly what it retrieves. It does not distinguish itself from the sibling 'x402-recommendations-api' or explain what 'JSON' adds beyond a response format. Purpose is clear but not fully disambiguated from siblings.

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

Usage Guidelines2/5

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

There is no statement of when to use this tool versus the many siblings, no mention of the likely paid/alternate 'x402-recommendations-api' variant, and no prerequisites such as authentication, credits, or rate limits. The agent must infer usage entirely from the name.

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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