totem-mcp

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implementation_create

Record implementation facts as structured memories, including path, tags, and details, to preserve knowledge across sessions.

Instructions

Create an implementation memory for codebase facts (API, function, module, type, config, schema).

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": {
      "title": "<title>",
      "statement": "<statement>",
      "tags": "<tags>",
      "subject": "<subject>",
      "kind": "<kind>",
      "path": "<path>"
    },
    "name": "implementation_create"
  }
}

Input Schema

Name	Required	Description	Default
`kind`	Yes
`path`	Yes
`tags`	Yes
`title`	Yes
`details`	No
`project`	No
`subject`	Yes
`summary`	No
`end_line`	No
`statement`	Yes
`start_line`	No
`content_hash`	No

Output Schema

Name	Required	Description	Default
`result`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

Addedv0.5.1Sep 9, 2026

TDQS

C2.4/5.0

Behavior2/5

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

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It only states that it creates a memory, but gives no information about side effects, required permissions, validation rules, or what happens on conflict. It is not misleading, but it is severely under-specified for a create operation.

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

Conciseness3/5

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

The description is a single, front-loaded sentence that is not verbose. However, it is so sparse that it provides minimal value beyond the tool name. Conciseness is good, but the content does not earn its place because it omits essential context.

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

Completeness1/5

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

Given the high parameter count (12) and required fields (6), plus the absence of annotations and low schema coverage, the description is woefully incomplete. It does not explain the purpose of any parameter, the meaning of 'implementation memory', or how the tool behaves. An agent would struggle to invoke it correctly without additional documentation.

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

Parameters1/5

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

Schema description coverage is 0%, and the description offers almost no parameter guidance. The parenthetical list of fact types (API, function, etc.) hints at the domain but does not explain any of the 12 parameters, including the 6 required ones. The description fails to compensate for the lack of schema documentation.

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 ('create') and resource ('implementation memory'), and enumerates the covered fact categories (API, function, module, type, config, schema). This clearly differentiates from other 'create' tools by the 'implementation' qualifier, though it does not explicitly name sibling tools.

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?

The description provides no guidance on when to use this tool versus the many sibling memory-creation tools (e.g., gotcha_create, assumption_create). There is no mention of selection criteria, prerequisites, or context. The agent must infer from the name and the generic list of codebase facts.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.