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Prepare learned memory observation

prepare_observe_memory

Stages food-related memory observations, such as preferences or habits, for merging into ReceiptCal personalization after approval.

Instructions

Stage recording or merging a bounded food-related memory observation into ReceiptCal personalization.

Input Schema

NameRequiredDescriptionDefault
keyNo
typeYes
sourceNo
statementYes
contradictsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior3/5

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

Annotations declare the mutation profile (readOnlyHint=false, non-idempotent, non-destructive), but the description adds genuine value by revealing 'Stage', implying a two-phase commit (likely requiring confirm_action), and 'bounded'. It still omits what confirm/cancel flow is needed and what happens to existing memories on merge.

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 verb front-loaded and no redundant restatement of the title. It is efficient, though its brevity comes at the cost of the missing detail elsewhere.

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 non-idempotent mutation tool with 5 undocumented parameters, no output schema, and a two-phase 'prepare' pattern, the description is thin. It never explains the staging-to-confirm lifecycle or how it relates to list_memories and prepare_edit_memory.

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 coverage is 0% for 5 parameters, so the schema carries none of the semantics. The description only vaguely gestures at 'bounded' (hinting at the 240-char statement limit) and 'food-related' (hinting at the type enum); key, source, contradicts, and the type/source enums are entirely unexplained.

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 action (stage recording or merging) on a specific resource (a bounded food-related memory observation), which is clearer than a tautology. However, it does not distinguish itself from close siblings like prepare_edit_memory or prepare_merge_food_preferences, especially given the word 'merging' overlaps with the latter.

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 offers no when-to-use guidance, no exclusions, and no named alternatives despite a crowded sibling set of memory and preference tools. An agent must guess whether this or prepare_edit_memory / prepare_merge_food_preferences is the right entry point.

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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