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

Discloses several behavioral traits: enforcement of preflight verification, anti-dogma checks, temporal date validation, and requirements for ai_compressed_summary or clean content. It does not fully explain side effects (e.g., whether it overwrites existing items) or success/error behavior, but without annotations it carries the burden well.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loads the core purpose with a bracketed protocol label, then presents numbered rules. The structure is efficient for an 11-parameter tool, though the header '[STANDARDIZED WRITE PROTOCOL - PRIVATE MODIFY]' is somewhat opaque and could be clearer.

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

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

For an 11-parameter write tool with no annotations and no output schema, the description covers key validation and promotion rules but omits important context: what the tool returns (e.g., created item ID), how it handles existing items, and what 'PRIVATE MODIFY' entails. Adequate but with clear gaps.

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

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

Schema description coverage is 91%, so the schema already documents most parameters. The description adds meaningful context linking parameters: it clarifies that user_confirmed is required for fact/cell promotion and that ai_compressed_summary or clean content is essential, which is not fully captured in schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Store) and resource (verified item in the knowledge vault), distinguishing it from read siblings like get_knowledge_item. However, it does not explicitly differentiate itself from other write siblings such as create_cell or ingest.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides rules for fact/cell promotion (requires citation tag or user_confirmed) and mentions preflight verification, implying usage for verified knowledge items. But it lacks explicit when-to-use/when-not-to-use guidance relative to sibling tools like create_cell or ingest.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.