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backlink-data

Analyze links, referring sources, history, and intersections.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
payloadYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.3/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure, and it largely fails. It does not state whether the operation is read-only (implied but unstated), whether it needs authentication or credits, how rate limits behave, or that behavior varies drastically across the 21 operations. A single generic sentence cannot cover a tool whose behavior is this operation-dependent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One short sentence is technically concise and front-loaded, but here brevity is under-specification rather than economy. For a tool of this complexity the single line leaves the majority of the contract unstated, so the terseness does not earn its place.

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?

Although an output schema exists (so return values need not be explained), the description is far too thin for a tool with a nested payload, 21 operations, a filter DSL, and no annotations. An agent cannot determine which operation to pick, what filters are valid, or what the pagination defaults mean without reading the raw schema. The description does not bridge that gap.

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% and the single 'payload' parameter contains a deeply nested object with 21 enum operations, a rich filter DSL, pagination, date ranges, ordering, and a response_mode toggle. The description's mention of 'links, referring sources, history, intersections' loosely hints at a few operation names but explains none of them and says nothing about filters, targets, ordering, pagination, or response_mode. It does not compensate for the coverage gap.

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

Purpose3/5

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

The description names the resource (links/backlinks) and gestures at sub-domains ('referring sources, history, intersections'), which loosely maps onto several values in the operation enum. However, 'Analyze' is a generic verb and nothing here distinguishes it from sibling tools like domain-intelligence or competitor-data. It states a purpose without making the tool's specific scope identifiable.

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 guidance on when to use this tool versus the 30+ siblings, nor any exclusion or precondition stated. The agent must infer usage entirely from the tool name and the operation enum. No when/when-not information is present.

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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