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Mnemograph

Mnemograph

by tm42
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

find_similar

Check entity names against existing ones to identify potential duplicates. Returns similarity scores; scores above 0.85 suggest merging.

Instructions

Find entities with similar names (potential duplicates). Use before creating to check for existing entities. Returns similarity scores — consider merging if >0.85.

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": {
      "name": "<name>"
    },
    "name": "find_similar"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameYesEntity name to check for similar existing entities
thresholdNoSimilarity threshold 0-1 (default 0.7)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.1

TDQS

A4.3/5.0
Behavior3/5

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

With no annotations, description must cover behavioral traits. It mentions returns similarity scores but does not disclose potential side effects, authorization needs, or rate limits. Adequate for a simple query tool.

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?

Two succinct sentences that front-load the purpose and immediately follow with usage guidance. No filler.

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

Completeness5/5

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

For a simple tool with 2 parameters and no output schema, the description fully explains what the tool does, when to use it, and how to interpret results.

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

Parameters4/5

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

Schema coverage is 100% with descriptions. Description adds value by explaining threshold use in determining similarity and merging suggestion, going beyond schema basics.

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

Purpose5/5

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

The description clearly states the tool finds 'entities with similar names (potential duplicates)', uses a specific verb 'find' and resource 'similar names', and distinguishes from sibling tools like 'merge_entities' or 'find_orphans' by focusing on similarity checking.

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

Usage Guidelines4/5

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

Explicitly says 'Use before creating to check for existing entities' and provides actionable guidance on interpretation ('consider merging if >0.85'). Does not mention when not to use, but context is clear.

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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