reset_memory

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

With no annotations, the description carries the full burden and does not meet it. It implies destruction ('resets or prunes... back to baseline') but never states that existing memory is destroyed, whether the operation is reversible, or how a backup interacts with the reset, leaving the agent to infer the safety profile from the schema alone.

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?

A single tight sentence with the action front-loaded and no filler. It is efficient, though the mixed jargon 'synaptic weights' versus 'associative memory' is slightly redundant rather than clarifying.

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?

This is a destructive mutation tool with no annotations, no output schema, and no usage guidance. An agent cannot tell from the description what exactly is lost, whether the reset is reversible, or when this should be preferred over inspecting memory first.

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 100%, so both 'confirm' and 'backup' are already documented in the schema, which sets the baseline at 3. The description adds no syntax, default, or consequence detail beyond what the schema provides.

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 concrete action on a concrete resource: resets/prunes synaptic weights and associative memory to baseline. The verb pair 'resets or prunes' is slightly hedged, and nothing distinguishes it from siblings like inspect_memory_state or query_associative_memory, so it stops short of a 5.

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?

There is no statement of when to reset versus inspect or query memory, no prerequisites, and no named alternative among the four sibling tools. The only usage signal is the required 'confirm' flag in the schema, which the description never explains.

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