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memory_observe

Store and cryptographically sign observations about people, projects, or preferences. Automatically creates entities and links each observation to a receipt for audit.

Instructions

Store a memory observation about a person, project, preference, or any entity. Automatically creates the entity if it doesn't exist. Every observation is cryptographically signed and linked to a receipt.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entity_nameYesName of the entity (person, project, tool, etc.)
entity_typeYesType of entity
contentYesThe observation/fact to remember
confidenceNoHow confident you are in this observation (default: medium)
scopeNoWho can see this memory (default: agent)
contextNoWhat conversation or task produced this observation
tagsNoTags for categorization
ttl_secondsNoTime-to-live in seconds. After this duration, the observation expires and is excluded from recall but retained for audit.
Behavior4/5

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

The description adds behavioral details beyond the input schema, such as automatic entity creation and cryptographic signing with receipt linking. Since annotations are absent, the description carries the full burden and does well, though it could mention potential side effects or permissions.

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?

The description is extremely concise with two sentences, front-loading the primary purpose and key behaviors. Every sentence adds value with no redundant or irrelevant information.

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

Completeness4/5

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

Given 8 parameters, no output schema, and no annotations, the description covers the core action and important behaviors (entity creation, cryptography). It omits return value details but is largely sufficient for an agent to understand the tool's use.

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 100%, so baseline is 3. The description does not elaborate on individual parameters beyond what the schema provides, so it meets the minimum but adds no extra semantic value for parameters.

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 verb 'store' and the resource 'memory observation', and specifies the scope as persons, projects, preferences, or entities. It distinguishes from sibling tools by noting automatic entity creation and cryptographic signing linked to a receipt, which are unique features.

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 explains what the tool does but does not provide any guidance on when to use this tool versus alternatives like memory_recall or memory_forget. No explicit when or when-not scenarios are mentioned.

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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