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OnStartups

Agent.ai MCP Server

by OnStartups

save_to_agent_kb

Save notes, context, or insights to the agent's persistent memory for future recall, with optional metadata and keyword indexing.

Instructions

Save notes, context, or insights to this agent's persistent memory for future recall and reference.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
text_contentYesThe text content to save to the agent's memory (supports variable references like {{meeting_notes}}).
metadataNoOptional JSON metadata about this content (e.g., {"source": "meeting_notes", "date": "2025-11-13"}).
suggested_keywordsNoComma-separated list of keywords to prioritize in indexing (e.g., "enterprise, pricing, annual contract").
output_variable_nameYesVariable name to store the save result, like 'saved_memory' or 'memory_saved'.saved_memory
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It states 'persistent memory' but fails to cover important traits like overwrite behavior, size limits, or access scope. Critical details for an agent to use this tool safely are missing.

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 a single, front-loaded sentence that efficiently conveys the core purpose. Every word earns its place with no superfluous content.

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?

Given 4 parameters, no output schema, and no annotations, the description should provide more context about return behavior (e.g., saving result in output variable), limitations, and how it relates to sibling tools. It lacks completeness for a write operation.

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% (all parameters have descriptions). The description adds minimal value beyond the schema, simply restating the general purpose. Baseline 3 is appropriate.

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 'Save' and the resource 'agent's persistent memory', making the purpose unambiguous. It distinguishes this write tool from sibling read tools like 'query_agent_kb' and 'list_agent_memories'.

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 use for storing information for future recall, but lacks explicit guidance on when to use this versus alternatives like 'store_variable_to_database'. No when-not-to-use or prerequisite information is provided.

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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