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deepak-bhardwaj-ps

Smriti MCP

create_memory

Store facts, decisions, and project context as durable markdown memories that survive beyond the current chat.

Instructions

Create a durable markdown memory for facts, decisions, preferences, or project context that should survive beyond the current chat.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
metaYesStructured metadata used for naming, grouping, filtering, and retrieval.
contentYesMarkdown body of the memory. Use wikilinks like [[Other Memory]] to relate notes.
idNoOptional stable memory id such as 'project/Deploy Workflow'. If omitted, Smriti creates one from category and title.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions durability and wikilinks but lacks details on authorization, side effects, or what happens when id is omitted. Minimal behavioral disclosure beyond purpose.

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?

Single sentence that is front-loaded with the verb and resource. Every word is necessary and there is no waste.

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 the moderate complexity (3 params, 2 required) and presence of an output schema, the description adequately covers the tool's purpose and persistence. It is complete enough for an agent to understand when to use it, though additional behavioral details would improve it.

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 the schema already documents all parameters. The description adds no additional parameter meaning beyond stating markdown content and wikilinks, which is already in the schema.

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 action (Create), resource (durable markdown memory), and use cases (facts, decisions, preferences, project context). It differentiates from sibling tools like get_memory and search_memory.

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 description implies when to use (for persistent context) but does not explicitly state when not to use or provide comparisons to alternatives like update_memory or search_memory.

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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