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

Annotations already declare readOnly=false, destructive=false, idempotent=false, so safety is covered. The description adds the return shape ('agent_id + initial graph summary') but says nothing about persistence, validation failure modes, or why an optional request_id exists on a non-idempotent tool — a gap worth noting for a creation operation.

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?

Two compact sentences with the required genome structure front-loaded and the return value trailing. The brace/notation shorthand is efficient, though borderline cryptic for an agent parsing prose.

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?

An output schema exists, so return values needn't be spelled out, and required genome keys are listed. However, for a nested object with additionalProperties allowed and 0% schema coverage, the description should say more about the expected shape of fitness_metrics, initial_nodes, and request_id before an agent can call this confidently.

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% and the genome is a free-form nested object, so the description carries the full burden — and it does enumerate required members (agent_name, purpose, initial_nodes, fitness_metrics) with cardinality constraints (unique, >=1) plus optional ones (growth_rules, safety_axioms). It falls short only in giving no types or formats and never explaining request_id.

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 and resource ('Create a developmental agent from a digital genome'), which is clearly distinct from sibling operations like get_agent, list_agents, and delete_agent. The domain jargon ('developmental agent', 'genome') is unexplained, but the operation itself 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?

No indication of when to use this versus alternatives, no prerequisites, and no mention of what happens before or after creation (e.g., whether describe_agent or get_agent should follow). The agent must infer placement in a workflow entirely on its own.

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