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add_observations

Add text observations to existing entities and index them for both keyword and semantic search, enabling persistent memory retrieval in a fully-offline MCP server.

Instructions

Add text observations to existing entities and index them for full-text and semantic search.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
observationsYesList of {entityName, contents} pairs.
Behavior3/5

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

Mentions indexing for search but lacks details on mutation effects, error cases (e.g., missing entity), or asynchronous behavior. Without annotations, description partially fulfills burden.

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 concise sentence front-loads purpose, no wasted words.

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?

Low complexity tool with one parameter; description covers purpose and indexing but lacks usage guidelines and behavioral details, making it minimally complete.

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 coverage is 100%; description adds no new meaning beyond schema descriptions. Baseline 3 applies.

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 tool adds text observations to existing entities and indexes them for search, distinguishing it from siblings like create_entities or delete_observations.

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?

No guidance on when to use or when not, no prerequisites mentioned (e.g., entity must exist), no alternatives noted.

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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