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MK-986123

server-memory

by MK-986123

add_observations

Add observations (facts, decisions, preferences, etc.) to existing entities, with automatic deduplication and protected types surviving compression.

Instructions

Add observations to existing entities.

Each item needs: entityName (str), contents (list[str]). Optional: source (str), confidence (float 0-1), tags (list[str]), importance (float 0-1, default 0.5 — higher survives compression), obs_type (str: fact, decision, preference, api_endpoint, dependency, file_path, code_snippet, config, schema). Deduplicates by exact match and semantic similarity. Protected obs_types (api_endpoint, dependency, file_path, code_snippet, config, schema) always survive compression.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
observationsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided; description compensates by disclosing deduplication, semantic similarity matching, protected obs_types, and importance affecting compression. Missing failure behavior.

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?

Well-structured with bullet points listing parameters and behaviors. Slightly verbose but each sentence adds value.

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?

Output schema exists, so return values not needed. Description covers dedup, compression, and obs_types. Lacks entity existence handling or error scenarios.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 0% description coverage and a vague 'additionalProperties: true' array. Description adds critical detail: expected fields (entityName, contents, optional source, confidence, tags, importance, obs_type) and their semantics.

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?

Clear verb+resource: 'Add observations to existing entities.' Distinguishes from sibling tools like create_entities which create new entities.

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 explicit when-to-use or alternatives among siblings (e.g., delete_observations). Usage is implied but not guided.

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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