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ProbeLine

Search implant systems (free)

search_implants
Read-only

List or search the dental implant database (manufacturer, line, connection, platforms, status). Free. Returns ids for get_implant.

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": "search_implants"
  }
}

Input Schema

NameRequiredDescriptionDefault
qNoFree-text search, e.g. 'nobel active'
statusNoe.g. 'current' or 'discontinued'
connectionNo
manufacturerNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered; the description adds genuinely new context by naming the cost ("Free") and the shape of the result (ids rather than full records). It still omits result limits, pagination, and matching behavior (exact vs substring on q).

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?

Three short front-loaded fragments with no filler, and the return-value handoff lands where the agent needs it. The telegraphic style slightly hurts readability but every clause carries information.

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

Completeness3/5

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

For a read-only search tool with no output schema, the description covers purpose, cost, and return type adequately. However, with two undocumented parameters and no statement on result caps or filter combination semantics, an agent still has to open the schema and guess at matching behavior.

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 coverage is 50%: q and status carry inline descriptions while connection and manufacturer do not. The parenthetical lists "manufacturer, line, connection, platforms, status", which supplies filter vocabulary but also names fields (line, platforms) that are not parameters, leaving ambiguity about what is actually searchable. Baseline 3 applies since the schema does part of the work.

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 and resource ("List or search the dental implant database") and enumerates the searchable record fields plus the return type ("Returns ids for get_implant"). That handoff to get_implant implicitly separates it from the detail-fetch sibling, though it never explicitly contrasts with identify_implant or diagnose_periodontitis.

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 implied rather than stated: an agent can infer this is the entry point that produces ids for get_implant. There is no explicit when-to-use versus identify_implant, and no statement about when not to use it or whether filters combine.

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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