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register_concept

Capture concepts that lack precise human names by describing examples instead of labels for cross-session recall in shared agent memory.

Instructions

Register a concept that lacks a precise human name.

description should describe the phenomenon through EXAMPLES, not with a canonical label — naming it locks it back into a human discipline. triangulation_notes (optional): the paraphrase runs that surfaced the invariant. confidence ∈ {low, medium, high}.

Input Schema

NameRequiredDescriptionDefault
confidenceNomedium
descriptionYes
memory_scopeNoproject
source_threadNo
triangulation_notesNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.19.1
    • addedInput schema / properties / memory_scope
      Added value: +{
      +  "default": "project",
      +  "title": "Memory Scope",
      +  "type": "string"
      +}
  2. First observedv0.13.2

TDQS

B3.2/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, idempotentHint=false, destructiveHint=false, which conveys the write/safety profile. Beyond that, the description adds no behavioral context: no mention of deduplication, storage scope effects, side effects, or permissions. The prose is philosophical rather than operational.

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?

Purpose is front-loaded, followed by field-specific guidance. It is compact and each sentence adds information, though 'locks it back into a human discipline' is slightly editorial and could be tightened.

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?

An output schema exists, so return values need not be explained. For a 5-parameter write tool the description covers purpose and three fields, but omits `memory_scope` and `source_thread`, leaving gaps an agent would need to guess at.

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 description coverage is 0%, so the description must carry parameter meaning. It usefully explains `description` (use examples, not labels), `triangulation_notes` (paraphrase runs that surfaced the invariant), and the `confidence` enum values, but leaves `memory_scope` and `source_thread` completely undocumented.

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?

States a specific verb (register) and resource (concept) with a qualifying scope (lacks a precise human name), so the agent knows this creates a new concept record. It does not explicitly distinguish itself from siblings like expand_concept, concept_manage, or list_concepts, but the purpose is unambiguous.

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?

The phrase 'a concept that lacks a precise human name' implies the usage condition, and the description gives guidance on how to fill the field rather than a canonical label. However, it names no alternative tools (e.g., expand_concept for existing concepts) and states no exclusions, so routing must be inferred.

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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