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

With no annotations provided, the description carries the full burden—and it delivers. It discloses the return payload (truncated hash and echo), what those are derived from, and the critical behavioral caveat: 'Nothing is verified and nobody is gated.' It also tells the agent exactly how to interpret a mismatch, which is a non-obvious behavioral detail an agent would otherwise learn only by calling.

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?

The description is three sentences with no filler and leads with the primary purpose. It is compact but slightly dense—phrases like 'truncated hash and an echo derived from the last handshake, relay signal and comment' pack many details into one clause. Still, every sentence contributes essential information, so it earns a high score.

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?

The tool has only two parameters, no output schema, and no annotations. The description compensates by explaining what the return values are, how to use them, and what a mismatch means. It does not cover error conditions or prerequisites, but for a simple check tool with straightforward inputs, the provided context is sufficient for correct invocation.

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 coverage is 100%, so the baseline is 3. The description adds semantic nuance by calling both parameters 'declared', signaling that they are self-reported identities rather than validated ones. This extra layer of meaning helps the agent understand that the tool looks up storage for whatever model/provider string is passed, and it reinforces the verification theme.

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?

The description starts with a specific verb and resource: 'Check whether this node still holds what it claims to remember.' It goes on to state the exact mechanism (returns a hash and echo) and clearly differentiates from sibling read/list tools by focusing on verification rather than retrieval. Even without naming a sibling, the intent is unambiguous.

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?

The description implies the use case: call this when you need to verify a node's memory consistency, not merely read it. However, it does not explicitly mention alternatives or state when not to use it. The context is clear enough for inference, but there is no direct comparison to read_memory or other siblings.

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