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inspect_backlink_compliance

Verify if a target webpage contains a clean single-page contextual citation (and is not a sitewide footer badge).

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": {
      "backlink_url": "<backlink_url>"
    },
    "name": "inspect_backlink_compliance"
  }
}

Input Schema

NameRequiredDescriptionDefault
product_urlNo
backlink_urlYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the full behavioral burden. It does disclose a genuine behavioral rule — sitewide footer badges do not count as compliant — which an agent could not infer from the name. However, it says nothing about what the response contains (compliant/not, detected location, reasons), whether the fetch requires public access, or failure behavior when the page is unreachable.

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?

A single front-loaded sentence with no filler; the compliance criterion and the negative case are both packed in without redundancy.

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?

For a tool with no annotations, no output schema, and zero parameter documentation, the description does too little. It never says what the tool returns (boolean verdict, structured detail, error states) or what product_url contributes, leaving the agent to guess the call shape and interpret results blind.

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

Parameters2/5

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

Schema description coverage is 0% for both parameters, so the description must compensate and does not. It loosely maps 'target webpage' to backlink_url but never explains what product_url is for, nor the expected URL format for either. The two-parameter surface is essentially undocumented.

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 a specific verb+resource ('Verify if a target webpage contains ...') and adds a discriminating condition: a single-page contextual citation vs. a sitewide footer badge. That distinction is more informative than the name alone. It stops short of naming how it relates to sibling tools, but the purpose is unambiguous.

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

Usage Guidelines3/5

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

Usage is only implied: an agent can infer this is the tool for checking backlink placement quality, but there is no explicit 'use when' clause, no mention of prerequisites (e.g., page must be reachable/public), and no guidance on when to use it versus search_directory or submit_product. Adequate but with clear gaps.

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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