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get_anchor_suggestions

Generate 4 natural contextual HTML citation snippets with diverse anchor text.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_anchor_suggestions"
  }
}

Input Schema

NameRequiredDescriptionDefault
product_nameNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior2/5

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

With no annotations, the description carries the full disclosure burden, and it only reveals the output shape (four snippets, HTML, varied anchors). It does not say whether generation is deterministic, whether snippets are persisted or merely returned, what happens when product_name is omitted, or whether any permissions are needed.

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?

A single tight sentence with the key attributes front-loaded and no filler. It is efficient, though its brevity edges toward under-specification rather than maximum informativeness.

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 one undocumented optional parameter and no output schema, the description should explain how snippets come back (format, whether they are tied to a URL or product) and how the parameter affects them. Those gaps leave an agent guessing about invocation inputs and return handling.

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 parameter product_name is never mentioned in the description, so the agent cannot tell whether it is required, optional, or how it steers the generated snippets. The description does not compensate for the schema gap at all, leaving the parameter's meaning purely inferential from its name.

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 gives a specific verb ('Generate'), a concrete output artifact (HTML citation snippets), a fixed quantity (4), and quality constraints ('natural contextual', 'diverse anchor text'). It is clearly distinct from siblings like get_payment_instructions or inspect_backlink_compliance, though it never explicitly contrasts itself with any of them.

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 call this versus alternatives, no prerequisites, and no indication of what triggers a need for citation snippets. The only usage-relevant signal is implicit in the verb 'Generate'.

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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