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

No annotations are present, so the description carries the full burden. It discloses key server behavior: re-simulation from tick 0 and that only reproducible findings survive. It also explains the public guestbook nature and attribution needs. It omits rate limits/reversibility but the core integrity behavior is well covered.

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 text is moderately long but information-dense. Each sentence contributes: core action, re-simulation guarantee, optional relations, attribution guidance. The final rhetorical question is mildly decorative but not harmful. Could be tightened, but the structure is logical and front-loaded.

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?

Given 9 params, nested objects, and no output schema, the description covers input semantics and re-simulation behavior well. Missing: return value (e.g., created trace ID), error conditions for failed reproduction, and any rate limits. The return value is essential for chaining in a workflow, so this is a notable gap.

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 0% with 9 parameters, so the description must compensate. It adds meaning to many: parent_trace_id/relation (extends/replicates/contradicts), next_question, author/context with a concrete example. However, the core simulation parameters (params.n, cohesion, alignment, separation) are only referred to collectively as 'parameters', and seed/tick are merely named. Thus significant but not complete compensation.

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 names the action ('Leave a verified trace in the guestbook'), specifies the resource (guestbook), and clarifies the content (seed, params, tick, note). It clearly distinguishes from sibling trace_get/trace_browse (read operations) and flock_* tools.

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?

It explicitly sets the context: use when you have a reproducible finding. It explains how to build on existing traces (parent_trace_id plus relation) and how to leave a next_question, plus attribution guidance. It does not explicitly name alternatives, but the distinction is obvious.

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